A B C D E F G H I L M N O P R S T U V W Z
All Classes All Packages

A

AbstractNode<P extends Provider<? extends AbstractNode>> - Class in network.aika

AbstractNode() - Constructor for class network.aika.AbstractNode

acquireReadLock() - Method in class network.aika.ReadWriteLock

acquireThread(Document) - Method in class network.aika.Model

acquireWriteLock() - Method in class network.aika.ReadWriteLock

act - Variable in class network.aika.neuron.activation.search.Option

Activation - Class in network.aika.neuron.activation

The Activation class is the most central class in Aika.

Activation(Document, INeuron, Map<Integer, Position>) - Constructor for class network.aika.neuron.activation.Activation

ACTIVATION_ID_COMP - Static variable in class network.aika.neuron.activation.Activation

Activation.Builder - Class in network.aika.neuron.activation

Activation.Mode - Enum in network.aika.neuron.activation

Activation.OscillatingActivationsException - Exception in network.aika.neuron.activation

Activation.RecursiveDepthExceededException - Exception in network.aika.neuron.activation

ActivationFunction - Enum in network.aika

ACTIVATIONS_OUTPUT_COMPARATOR - Static variable in class network.aika.Document

activationsToString() - Method in class network.aika.Document

activeProviders - Variable in class network.aika.Model

add(Node) - Method in class network.aika.lattice.NodeQueue

add(Activation) - Method in class network.aika.neuron.activation.UpperBoundQueue

add(Activation, SearchNode) - Method in class network.aika.neuron.activation.ValueQueue

add(Link) - Method in class network.aika.neuron.activation.UpperBoundQueue

addActivatedNeuron(INeuron) - Method in class network.aika.Document

addActivatedNode(Node) - Method in class network.aika.Document

addActivation(A) - Method in class network.aika.lattice.Node

Add a new activation to this logic node and further propagate this activation through the network.

addActivation(Integer, Activation) - Method in class network.aika.neuron.activation.Position

addActivation(OrEntry, NodeActivation) - Method in class network.aika.lattice.OrNode

addActivation(Activation) - Method in class network.aika.Document

addActivation(Activation) - Method in class network.aika.lattice.InputNode

addedNodeActivations - Variable in class network.aika.Document

addedNodes - Variable in class network.aika.Document

addFinallyActivatedNeuron(INeuron) - Method in class network.aika.Document

addInput(Document, int, int) - Method in class network.aika.neuron.Neuron

Propagate an input activation into the network.

addInput(Document, Activation.Builder) - Method in class network.aika.neuron.INeuron

Propagate an input activation into the network.

addInput(Document, Activation.Builder) - Method in class network.aika.neuron.Neuron

Propagate an input activation into the network.

addInputNeuronActivation(Activation) - Method in class network.aika.Document

addLink(Direction, Link) - Method in class network.aika.neuron.activation.Activation

addModelLabel(String) - Method in class network.aika.AbstractNode

addModelLabel(String) - Method in class network.aika.neuron.INeuron

addPadding(String, int) - Static method in class network.aika.Utils

addRelation(Integer, Integer, Neuron, Relation) - Static method in class network.aika.neuron.relation.Relation

addRelation(Map<Integer, Relation>, Integer, Integer, Neuron, Relation) - Static method in class network.aika.neuron.relation.Relation

addRelation(Relation) - Method in class network.aika.neuron.relation.MultiRelation

AFTER - Static variable in class network.aika.neuron.relation.Relation

alternativeCachedWeightSum - Variable in class network.aika.neuron.activation.Activation

AncestorRelation - Class in network.aika.neuron.relation

AncestorRelation.CommonAncestor - Class in network.aika.neuron.relation

AncestorRelation.IsAncestorOf - Class in network.aika.neuron.relation

AncestorRelation.IsDescendantOf - Class in network.aika.neuron.relation

AncestorRelation.NotAncestorOf - Class in network.aika.neuron.relation

AncestorRelation.NotDescendantOf - Class in network.aika.neuron.relation

AndActivation - Class in network.aika.lattice.activation

AndActivation(Document, AndNode) - Constructor for class network.aika.lattice.activation.AndActivation

AndActivation.Link - Class in network.aika.lattice.activation

AndNode - Class in network.aika.lattice

The InputNode and the AndNode classes together form a pattern lattice, containing all possible substructures of any given conjunction.

AndNode() - Constructor for class network.aika.lattice.AndNode

AndNode(Model, int, List<AndNode.Entry>) - Constructor for class network.aika.lattice.AndNode

AndNode.Entry - Class in network.aika.lattice

Any() - Constructor for class network.aika.neuron.relation.Relation.Any

ANY - Static variable in class network.aika.neuron.relation.Relation

append(String) - Method in class network.aika.Document

B

BEFORE - Static variable in class network.aika.neuron.relation.Relation

BEGIN - Static variable in class network.aika.neuron.activation.Activation

BEGIN_EQUALS - Static variable in class network.aika.neuron.relation.Relation

BEGIN_TO_END_EQUALS - Static variable in class network.aika.neuron.relation.Relation

bestChildNode - Variable in class network.aika.neuron.activation.Activation

blocked - Variable in class network.aika.neuron.activation.Activation

Branch - Class in network.aika.neuron.activation.search

Branch() - Constructor for class network.aika.neuron.activation.search.Branch

Builder() - Constructor for class network.aika.neuron.activation.Activation.Builder

Builder() - Constructor for class network.aika.neuron.relation.Relation.Builder

Builder() - Constructor for class network.aika.neuron.Synapse.Builder

C

CACHED - network.aika.neuron.activation.search.SearchNode.DebugState

cachedDecision - Variable in class network.aika.neuron.activation.Activation

The cached decision is used to avoid having to explore the same currentSearchState twice even though nothing that influences this currentSearchState has changed.

cachedSearchNode - Variable in class network.aika.neuron.activation.Activation

The cached search node is used to avoid having to recompute the activation values and weights that are associated with this search node.

cacheFactor - Variable in class network.aika.neuron.activation.search.Option

CANDIDATE_COMP - Static variable in class network.aika.neuron.activation.Activation

candidates - Variable in class network.aika.Document

changeNumberOfNeuronRefs(int, long, int) - Method in class network.aika.lattice.AndNode

changeNumberOfNeuronRefs(int, long, int) - Method in class network.aika.lattice.Node

changeNumberOfNeuronRefs(int, long, int) - Method in class network.aika.lattice.OrNode

changeState(Activation.Mode) - Method in class network.aika.neuron.activation.search.SearchNode

charAt(int) - Method in class network.aika.Document

checkDependenciesSatisfied(long) - Method in class network.aika.neuron.activation.Activation

checkSelfReferencing(Activation) - Method in class network.aika.neuron.activation.Activation

checkVisited(long) - Method in class network.aika.neuron.activation.Activation

child - Variable in class network.aika.lattice.refinement.OrEntry

child - Variable in class network.aika.lattice.refinement.RefValue

CHILD_NODE_THRESHOLD - Static variable in class network.aika.lattice.InputNode

cleanup() - Method in class network.aika.lattice.AndNode

cleanup() - Method in class network.aika.lattice.InputNode

cleanup() - Method in class network.aika.lattice.Node

cleanup() - Method in class network.aika.lattice.OrNode

cleanup() - Method in class network.aika.neuron.activation.search.Branch

cleanup() - Method in class network.aika.neuron.activation.search.Option

CLEANUP_INTERVAL - Static variable in class network.aika.Document

clearActivations() - Method in class network.aika.Document

Removes the activations of this document from the model again.

clearActivations() - Method in class network.aika.lattice.Node

clearActivations() - Method in class network.aika.neuron.INeuron

clearActivations(int) - Method in class network.aika.lattice.Node

clearActivations(int) - Method in class network.aika.neuron.INeuron

clearActivations(Document) - Method in class network.aika.lattice.Node

clearActivations(Document) - Method in class network.aika.neuron.INeuron

clearThreadState(int, int) - Method in class network.aika.lattice.Node

collapseText(String, int) - Static method in class network.aika.Utils

commit() - Method in class network.aika.Document

Updates the model after the training step.

commit() - Method in class network.aika.neuron.INeuron.SynapseSummary

commit() - Method in class network.aika.neuron.Synapse

commit(Collection<Synapse>) - Method in class network.aika.neuron.INeuron

COMMON_ANCESTOR - Static variable in class network.aika.neuron.relation.AncestorRelation

CommonAncestor() - Constructor for class network.aika.neuron.relation.AncestorRelation.CommonAncestor

compare(Position) - Method in class network.aika.neuron.activation.Position

compare(Position, Position) - Static method in class network.aika.neuron.activation.Position

compare(Option) - Method in class network.aika.neuron.activation.search.Option

compareRank(int, Node, Node) - Static method in class network.aika.lattice.Node

compareTo(Document) - Method in class network.aika.Document

compareTo(Node) - Method in class network.aika.lattice.Node

compareTo(NodeActivation<T>) - Method in class network.aika.lattice.NodeActivation

compareTo(OrEntry) - Method in class network.aika.lattice.refinement.OrEntry

compareTo(Refinement) - Method in class network.aika.lattice.refinement.Refinement

compareTo(RelationsMap) - Method in class network.aika.lattice.refinement.RelationsMap

compareTo(Activation) - Method in class network.aika.neuron.activation.Activation

compareTo(Option) - Method in class network.aika.neuron.activation.search.Option

compareTo(SearchNode) - Method in class network.aika.neuron.activation.search.SearchNode

compareTo(INeuron) - Method in class network.aika.neuron.INeuron

compareTo(Relation) - Method in class network.aika.neuron.relation.MultiRelation

compareTo(Relation) - Method in class network.aika.neuron.relation.PositionRelation

compareTo(Relation) - Method in class network.aika.neuron.relation.Relation

compareTo(Provider<?>) - Method in class network.aika.Provider

COMPUTE_SOFT_MAX - Static variable in class network.aika.neuron.activation.search.SearchNode

computeBounds() - Method in class network.aika.neuron.activation.Activation

computeCachedFactor(SearchNode) - Static method in class network.aika.neuron.activation.search.SearchNode

computeInputActivation(Synapse, Activation) - Method in class network.aika.neuron.activation.link.Linker

computeMaxRelationWeights() - Method in class network.aika.neuron.Synapse

computeOptionProbabilities() - Method in class network.aika.neuron.activation.Activation

computeRelationWeights(Link) - Method in class network.aika.neuron.Synapse

computeRemainingWeight() - Method in class network.aika.neuron.activation.search.Option

computeValueAndWeight(SearchNode) - Method in class network.aika.neuron.activation.Activation

connect(Neuron) - Method in class network.aika.neuron.relation.Relation.Builder

CONTAINED_IN - Static variable in class network.aika.neuron.relation.Relation

contains(Refinement, RefValue) - Method in class network.aika.lattice.refinement.Refinement

CONTAINS - Static variable in class network.aika.neuron.relation.Relation

convert(int, Document, INeuron, Collection<Synapse>) - Static method in class network.aika.lattice.Converter

Converter - Class in network.aika.lattice

Converts the synapse weights of a neuron into a boolean logic representation of this neuron.

create() - Method in interface network.aika.neuron.relation.Relation.RelationFactory

createActivation(Document, Map<Integer, Position>) - Method in class network.aika.neuron.INeuron

createNeuron(String, INeuron.Type) - Method in class network.aika.Model

createNeuron(String, INeuron.Type, String) - Method in class network.aika.Model

createNeuron(String, INeuron.Type, ActivationFunction) - Method in class network.aika.Model

createNeuron(String, INeuron.Type, ActivationFunction, String) - Method in class network.aika.Model

createNeuron(INeuron.Type) - Method in class network.aika.Model

createOrReplace(Document, Integer, Neuron, Neuron, Synapse.SynapseFactory) - Static method in class network.aika.neuron.Synapse

createSynapse(Neuron, Neuron, Integer) - Method in interface network.aika.neuron.Synapse.SynapseFactory

createV - Variable in class network.aika.Document

CURRENT - network.aika.neuron.Synapse.State

currentId - Variable in class network.aika.Model

currentOption - Variable in class network.aika.neuron.activation.Activation

CyclicDependencyException() - Constructor for exception network.aika.Document.CyclicDependencyException

D

DEBUG_OUTPUT - Static variable in class network.aika.neuron.activation.Activation

debugCounts - Variable in class network.aika.neuron.activation.Activation

debugDecisionCounts - Variable in class network.aika.neuron.activation.Activation

decision - Variable in class network.aika.neuron.activation.search.Option

Decision - Enum in network.aika.neuron.activation.search

defaultThreadId - Variable in class network.aika.Model

delete(String, int) - Method in interface network.aika.SuspensionHook

delete(Set<String>) - Method in class network.aika.AbstractNode

delete(Set<String>) - Method in class network.aika.lattice.AndNode

delete(Set<String>) - Method in class network.aika.lattice.InputNode

delete(Set<String>) - Method in class network.aika.lattice.OrNode

delete(Set<String>) - Method in class network.aika.neuron.INeuron

delete(Set<String>) - Method in class network.aika.Provider

Direction - Enum in network.aika.neuron.activation.link

DISCARD - network.aika.Provider.SuspensionMode

doc - Variable in class network.aika.lattice.NodeActivation

docIdCounter - Variable in class network.aika.Model

docs - Variable in class network.aika.Model

Document - Class in network.aika

The Document class represents a single document which may be either used for processing a text or as training input.

Document(Model, int, String) - Constructor for class network.aika.Document

Document(Model, String) - Constructor for class network.aika.Document

Document.CyclicDependencyException - Exception in network.aika

dumpDebugCandidateStatistics() - Method in class network.aika.Document

dumpDebugState() - Method in class network.aika.neuron.activation.search.SearchNode

dumpThreadState() - Method in class network.aika.Model

E

END - Static variable in class network.aika.neuron.activation.Activation

END_EQUALS - Static variable in class network.aika.neuron.relation.Relation

END_TO_BEGIN_EQUALS - Static variable in class network.aika.neuron.relation.Relation

Entry(Refinement, RefValue) - Constructor for class network.aika.lattice.AndNode.Entry

equals(Object) - Method in class network.aika.Provider

equals(State) - Method in class network.aika.neuron.activation.State

Equals() - Constructor for class network.aika.neuron.relation.PositionRelation.Equals

Equals(int, int) - Constructor for class network.aika.neuron.relation.PositionRelation.Equals

EQUALS - Static variable in class network.aika.neuron.relation.Relation

equalsWithWeights(State) - Method in class network.aika.neuron.activation.State

EXCITATORY - network.aika.neuron.INeuron.Type

excluded - Variable in class network.aika.neuron.activation.search.SearchNode

EXCLUDED - network.aika.neuron.activation.search.Decision

exists() - Method in class network.aika.neuron.Synapse

expand(int, Document, Refinement) - Method in class network.aika.lattice.InputNode

expand(int, Document, Refinement) - Method in class network.aika.lattice.OrNode

EXPLORE - network.aika.neuron.activation.search.SearchNode.DebugState

F

f(double) - Method in enum network.aika.ActivationFunction

finalOption - Variable in class network.aika.neuron.activation.Activation

fired - Variable in class network.aika.neuron.activation.Activation.Builder

fired - Variable in class network.aika.neuron.activation.State

followPath() - Method in class network.aika.neuron.activation.search.SearchNode

from - Variable in class network.aika.neuron.relation.Relation.Builder

fromSlot - Variable in class network.aika.neuron.relation.PositionRelation

G

generateCandidates() - Method in class network.aika.Document

generateOutputText() - Method in class network.aika.Document

get() - Method in class network.aika.Provider

get(int) - Method in class network.aika.lattice.activation.OrActivation.Link

get(int) - Method in class network.aika.lattice.refinement.RelationsMap

get(int) - Method in class network.aika.Provider

get(Document) - Method in class network.aika.Provider

getAccumulatedWeight() - Method in class network.aika.neuron.activation.search.SearchNode

getAct() - Method in class network.aika.neuron.activation.search.Option

getActivation() - Method in class network.aika.neuron.activation.search.SearchNode

getActivation(Document, int, int, boolean) - Method in class network.aika.neuron.Neuron

getActivationFunction() - Method in class network.aika.neuron.INeuron

getActivations() - Method in class network.aika.neuron.activation.Position

getActivations(boolean) - Method in class network.aika.Document

getActivations(int) - Method in class network.aika.neuron.activation.Position

getActivations(Document) - Method in class network.aika.lattice.Node

getActivations(Document) - Method in class network.aika.neuron.INeuron

getActivations(Document, boolean) - Method in class network.aika.neuron.INeuron

getActivations(Document, boolean) - Method in class network.aika.neuron.Neuron

getFinalActivations is a convenience method to retrieve all activations of the given neuron that are part of the final interpretation.

getActivations(Document, int, Position, boolean) - Method in class network.aika.neuron.INeuron

getActivations(Document, int, Position, boolean) - Method in class network.aika.neuron.Neuron

getActivations(Document, int, Position, boolean, int, Position, boolean) - Method in class network.aika.neuron.INeuron

getActivations(Document, SortedMap<Integer, Position>) - Method in class network.aika.neuron.INeuron

getActivations(INeuron, Activation) - Method in class network.aika.neuron.relation.AncestorRelation.CommonAncestor

getActivations(INeuron, Activation) - Method in class network.aika.neuron.relation.AncestorRelation.IsAncestorOf

getActivations(INeuron, Activation) - Method in class network.aika.neuron.relation.AncestorRelation.IsDescendantOf

getActivations(INeuron, Activation) - Method in class network.aika.neuron.relation.AncestorRelation.NotAncestorOf

getActivations(INeuron, Activation) - Method in class network.aika.neuron.relation.AncestorRelation.NotDescendantOf

getActivations(INeuron, Activation) - Method in class network.aika.neuron.relation.MultiRelation

getActivations(INeuron, Activation) - Method in class network.aika.neuron.relation.PositionRelation

getActivations(INeuron, Activation) - Method in class network.aika.neuron.relation.Relation.Any

getActivations(INeuron, Activation) - Method in class network.aika.neuron.relation.Relation

getActivations(INeuron, Position) - Method in class network.aika.neuron.relation.PositionRelation.Equals

getActivations(INeuron, Position) - Method in class network.aika.neuron.relation.PositionRelation

getActivations(INeuron, Position) - Method in class network.aika.neuron.relation.PositionRelation.GreaterThan

getActivations(INeuron, Position) - Method in class network.aika.neuron.relation.PositionRelation.LessThan

getActivationsByPosition(int, Position, boolean, int, Position, boolean) - Method in class network.aika.Document

getActivationsByPosition(Position, boolean, Position, boolean) - Method in class network.aika.Document

getActivationsDump() - Method in exception network.aika.neuron.activation.Activation.OscillatingActivationsException

getActivationValue(Synapse, Activation) - Method in interface network.aika.PassiveInputFunction

getActiveInputSynapses() - Method in class network.aika.neuron.Neuron

Active input synapses are those synapses that are currently available in the main memory.

getActiveNeurons() - Method in class network.aika.Model

getActiveOutputSynapses() - Method in class network.aika.neuron.Neuron

getAllNodeIds() - Method in interface network.aika.SuspensionHook

getAlternative() - Method in class network.aika.neuron.activation.search.SearchNode

getBias() - Method in class network.aika.neuron.INeuron

getBiasDelta() - Method in class network.aika.neuron.INeuron

getBranch(Decision) - Method in class network.aika.neuron.activation.search.SearchNode

getCandidateId() - Method in class network.aika.neuron.activation.Activation

getContent() - Method in class network.aika.Document

getCurrentModelLabel() - Method in interface network.aika.ModelLabelCallback

getDecision() - Method in class network.aika.neuron.activation.Activation

getDecision() - Method in class network.aika.neuron.activation.search.SearchNode

getDefaultActivationFunction() - Method in enum network.aika.neuron.INeuron.Type

getDistance(Position) - Method in class network.aika.neuron.activation.Position

getDocument() - Method in class network.aika.lattice.NodeActivation

getDocument() - Method in class network.aika.neuron.activation.Activation

getDocument() - Method in class network.aika.neuron.activation.Position

getExpectedState() - Method in class network.aika.neuron.activation.Activation

getFinalDecision() - Method in class network.aika.neuron.activation.Activation

getFinalInputActivationLinks() - Method in class network.aika.neuron.activation.Activation

getFinalOutputActivationLinks() - Method in class network.aika.neuron.activation.Activation

getFinalPosition() - Method in class network.aika.neuron.activation.Position

getFinalState() - Method in class network.aika.neuron.activation.Activation

getFrom() - Method in class network.aika.neuron.relation.Relation.Builder

getId() - Method in class network.aika.Document

getId() - Method in class network.aika.neuron.activation.Activation

getId() - Method in class network.aika.neuron.activation.Position

getId() - Method in class network.aika.neuron.activation.search.SearchNode

getId() - Method in class network.aika.neuron.INeuron

getId() - Method in class network.aika.neuron.Synapse

getId() - Method in class network.aika.Provider

getIfNotSuspended() - Method in class network.aika.Provider

getINeuron() - Method in class network.aika.neuron.activation.Activation

getInput() - Method in class network.aika.neuron.activation.link.Link

getInput() - Method in class network.aika.neuron.Synapse

getInputActivation(int) - Method in class network.aika.lattice.activation.AndActivation

getInputActivation(int) - Method in class network.aika.lattice.activation.InputActivation

getInputActivation(int) - Method in class network.aika.lattice.activation.OrActivation

getInputActivation(int) - Method in class network.aika.lattice.NodeActivation

getInputLink(Link) - Method in class network.aika.neuron.activation.Activation

getInputLinks() - Method in class network.aika.neuron.activation.Activation

getInputLinks(Neuron) - Method in class network.aika.lattice.activation.OrActivation.Link

getInputNode() - Method in class network.aika.neuron.INeuron

getInputNodeActivation() - Method in class network.aika.neuron.activation.Activation

getInputSynapses() - Method in class network.aika.neuron.INeuron

getInputValue() - Method in class network.aika.neuron.activation.Activation

getInverted() - Method in enum network.aika.neuron.activation.link.Direction

getInverted() - Method in enum network.aika.neuron.activation.search.Decision

getLabel() - Method in class network.aika.AbstractNode

getLabel() - Method in class network.aika.neuron.activation.Activation

getLabel() - Method in class network.aika.neuron.INeuron

getLabel() - Method in class network.aika.neuron.Neuron

getLeafRelations() - Method in class network.aika.neuron.relation.MultiRelation

getLeafRelations() - Method in class network.aika.neuron.relation.Relation

getLimit() - Method in class network.aika.neuron.Synapse

getLimit(Synapse.State) - Method in class network.aika.neuron.Synapse

getLimitDelta() - Method in class network.aika.neuron.Synapse

getLinkBySynapseId(int) - Method in class network.aika.neuron.activation.Activation

getLinker() - Method in class network.aika.Document

getLinks(Direction) - Method in class network.aika.neuron.activation.Activation

getLinksBySynapse(Direction, Synapse) - Method in class network.aika.neuron.activation.Activation

getLowerBound() - Method in class network.aika.neuron.activation.Activation

getMaxInputSynapse(Synapse.State) - Method in class network.aika.neuron.INeuron

getMaxInputValue() - Method in class network.aika.neuron.Synapse

getModel() - Method in class network.aika.Document

getModel() - Method in class network.aika.neuron.INeuron

getModel() - Method in class network.aika.Provider

getModelLabelCallback() - Method in class network.aika.Model

getModelLabels() - Method in class network.aika.AbstractNode

getModifiedActivations() - Method in class network.aika.neuron.activation.search.SearchNode

getModifiedWeights() - Method in class network.aika.Document

getNegDirSum() - Method in class network.aika.neuron.INeuron.SynapseSummary

getNegRecSum() - Method in class network.aika.neuron.INeuron.SynapseSummary

getNeuron() - Method in class network.aika.neuron.activation.Activation

getNeuronLabel() - Method in class network.aika.lattice.Node

getNeuronLabel() - Method in class network.aika.lattice.OrNode

getNewActivationId() - Method in class network.aika.Document

getNewBias() - Method in class network.aika.neuron.INeuron

getNewDocumentId() - Method in class network.aika.Model

getNewId() - Method in interface network.aika.SuspensionHook

getNewLimit() - Method in class network.aika.neuron.Synapse

getNewNodeActivationId() - Method in class network.aika.Document

getNewSynapseId() - Method in class network.aika.neuron.INeuron

getNewSynapseId() - Method in class network.aika.neuron.Neuron

getNewVisitedId() - Method in class network.aika.Document

getNewVisitedId() - Method in class network.aika.neuron.activation.Activation

getNewWeight() - Method in class network.aika.neuron.Synapse

getNextActivation(Activation) - Method in class network.aika.Document

getNextDecision(Option, SearchNode) - Method in class network.aika.neuron.activation.Activation

getNode() - Method in class network.aika.lattice.NodeActivation

getNodeQueue() - Method in class network.aika.Document

getNumberOfActivations() - Method in class network.aika.Document

getOldestDocIdInProcessing() - Method in class network.aika.Model

getOptions() - Method in class network.aika.neuron.activation.Activation

getOutput() - Method in class network.aika.neuron.activation.link.Link

getOutput() - Method in class network.aika.neuron.Synapse

getOutputAct() - Method in class network.aika.lattice.activation.OrActivation

getOutputLinks() - Method in class network.aika.neuron.activation.Activation

getOutputNeuron() - Method in class network.aika.lattice.OrNode

getOutputNode() - Method in class network.aika.neuron.INeuron

getOutputNodeActivation() - Method in class network.aika.neuron.activation.Activation

getOutputRelations() - Method in class network.aika.neuron.INeuron

getOutputSynapses() - Method in class network.aika.neuron.INeuron

getOutputText() - Method in class network.aika.neuron.INeuron

getPassiveInputFunction() - Method in class network.aika.neuron.Neuron

getPassiveInputSynapses() - Method in class network.aika.neuron.INeuron

getPosDirSum() - Method in class network.aika.neuron.INeuron.SynapseSummary

getPosPassiveSum() - Method in class network.aika.neuron.INeuron.SynapseSummary

getPosRecSum() - Method in class network.aika.neuron.INeuron.SynapseSummary

getPosSum(Synapse.State) - Method in class network.aika.neuron.INeuron.SynapseSummary

getPreferredDecision() - Method in class network.aika.neuron.activation.State

getProvider() - Method in class network.aika.AbstractNode

getRelation() - Method in class network.aika.neuron.relation.Relation.Builder

getRelation(Relation) - Method in class network.aika.neuron.relation.MultiRelation

getRelation(Relation) - Method in class network.aika.neuron.relation.Relation

getRelationById(Integer) - Method in class network.aika.neuron.Synapse

getRelations() - Method in class network.aika.neuron.Synapse

getRelationsMap(int, Neuron) - Static method in class network.aika.neuron.relation.Relation

getSequence() - Method in class network.aika.neuron.activation.Activation

getSlots() - Method in class network.aika.neuron.activation.Activation

getSlots(Document) - Method in class network.aika.neuron.activation.Activation.Builder

getState() - Method in class network.aika.neuron.activation.search.Option

getSuspensionHook() - Method in class network.aika.Model

getSynapse() - Method in class network.aika.neuron.activation.link.Link

getSynapse(Neuron) - Method in class network.aika.neuron.Synapse.Builder

getSynapseById(int) - Method in class network.aika.neuron.activation.Activation

getSynapseById(int) - Method in class network.aika.neuron.Neuron

getSynapseFactory() - Method in class network.aika.neuron.Synapse.Builder

getSynapseId() - Method in class network.aika.neuron.Synapse.Builder

getSynapseSummary() - Method in class network.aika.neuron.INeuron

getTargetValue() - Method in class network.aika.neuron.activation.Activation

getText() - Method in class network.aika.neuron.activation.Activation

getText(Integer, Integer) - Method in class network.aika.Document

getText(Position, Position) - Method in class network.aika.Document

getThreadId() - Method in class network.aika.Document

getThreadId() - Method in class network.aika.lattice.NodeActivation

getThreadId() - Method in class network.aika.neuron.activation.Activation

getTo() - Method in class network.aika.neuron.relation.Relation.Builder

getTotalBias(Synapse.State) - Method in class network.aika.neuron.INeuron

getType() - Method in class network.aika.neuron.activation.Activation

getType() - Method in class network.aika.neuron.INeuron

getType() - Method in class network.aika.neuron.Neuron

getType() - Method in class network.aika.neuron.relation.AncestorRelation.CommonAncestor

getType() - Method in class network.aika.neuron.relation.AncestorRelation.IsAncestorOf

getType() - Method in class network.aika.neuron.relation.AncestorRelation.IsDescendantOf

getType() - Method in class network.aika.neuron.relation.AncestorRelation.NotAncestorOf

getType() - Method in class network.aika.neuron.relation.AncestorRelation.NotDescendantOf

getType() - Method in class network.aika.neuron.relation.MultiRelation

getType() - Method in class network.aika.neuron.relation.PositionRelation.Equals

getType() - Method in class network.aika.neuron.relation.PositionRelation.GreaterThan

getType() - Method in class network.aika.neuron.relation.PositionRelation.LessThan

getType() - Method in class network.aika.neuron.relation.Relation.Any

getType() - Method in class network.aika.neuron.relation.Relation

getUpperBound() - Method in class network.aika.neuron.activation.Activation

getUpperBoundQueue() - Method in class network.aika.Document

getValue() - Method in class network.aika.neuron.activation.Activation

getValueQueue() - Method in class network.aika.Document

getVisitedId() - Method in class network.aika.neuron.activation.Activation

getWeight() - Method in class network.aika.neuron.Synapse

getWeight(Synapse.State) - Method in class network.aika.neuron.Synapse

getWeightDelta() - Method in class network.aika.neuron.Synapse

getWeightSum() - Method in class network.aika.neuron.activation.search.SearchNode

GreaterThan() - Constructor for class network.aika.neuron.relation.PositionRelation.GreaterThan

GreaterThan(int, int, boolean) - Constructor for class network.aika.neuron.relation.PositionRelation.GreaterThan

GreaterThan(int, int, boolean, int) - Constructor for class network.aika.neuron.relation.PositionRelation.GreaterThan

H

hashCode() - Method in class network.aika.Provider

I

id - Variable in class network.aika.lattice.NodeActivation

id - Variable in class network.aika.Provider

ID - Static variable in class network.aika.neuron.relation.MultiRelation

ID - Static variable in class network.aika.neuron.relation.Relation.Any

identityToString() - Method in class network.aika.neuron.activation.Activation

INeuron - Class in network.aika.neuron

The INeuron class represents a internal neuron implementation in Aikas neural network and is connected to other neurons through input synapses and output synapses.

INeuron(Model, String, String, INeuron.Type, ActivationFunction) - Constructor for class network.aika.neuron.INeuron

INeuron(Model, String, INeuron.Type, ActivationFunction) - Constructor for class network.aika.neuron.INeuron

INeuron(Neuron) - Constructor for class network.aika.neuron.INeuron

INeuron.SynapseSummary - Class in network.aika.neuron

INeuron.Type - Enum in network.aika.neuron

INHIBITORY - network.aika.neuron.INeuron.Type

init(Document, Neuron, double, Collection<Neuron.Builder>) - Static method in class network.aika.neuron.Neuron

init(Document, Neuron, double, Collection<Synapse.Builder>, Collection<Relation.Builder>) - Static method in class network.aika.neuron.Neuron

Initializes a neuron with the given bias.

init(Document, Neuron, double, Neuron.Builder...) - Static method in class network.aika.neuron.Neuron

Creates a neuron with the given bias.

init(Document, Neuron, Neuron.Builder...) - Static method in class network.aika.neuron.Neuron

init(Neuron, double, Collection<Neuron.Builder>) - Static method in class network.aika.neuron.Neuron

init(Neuron, double, Collection<Synapse.Builder>, Collection<Relation.Builder>) - Static method in class network.aika.neuron.Neuron

Initializes a neuron with the given bias.

init(Neuron, double, Neuron.Builder...) - Static method in class network.aika.neuron.Neuron

Creates a neuron with the given bias.

init(Neuron, Neuron.Builder...) - Static method in class network.aika.neuron.Neuron

INITIAL_STATE - Static variable in class network.aika.neuron.activation.search.Option

initLinker() - Method in class network.aika.Document

input - Variable in class network.aika.lattice.activation.AndActivation.Link

input - Variable in class network.aika.lattice.activation.InputActivation

input - Variable in class network.aika.lattice.refinement.Refinement

INPUT - network.aika.neuron.activation.link.Direction

INPUT - network.aika.neuron.INeuron.Type

INPUT_COMP - Static variable in class network.aika.neuron.activation.link.Link

INPUT_SYNAPSE_COMP - Static variable in class network.aika.neuron.Synapse

InputActivation - Class in network.aika.lattice.activation

InputActivation(Activation, InputNode) - Constructor for class network.aika.lattice.activation.InputActivation

InputNode - Class in network.aika.lattice

The InputNode class is the input layer for the boolean logic.

InputNode() - Constructor for class network.aika.lattice.InputNode

InputNode(Model) - Constructor for class network.aika.lattice.InputNode

inputOptions - Variable in class network.aika.neuron.activation.search.Option

inputs - Variable in class network.aika.lattice.activation.AndActivation

invalidateCachedDecision(Activation) - Static method in class network.aika.neuron.activation.search.SearchNode

InvalidInhibitoryNeuronSynapse() - Constructor for exception network.aika.neuron.Synapse.InvalidInhibitoryNeuronSynapse

invert() - Method in class network.aika.neuron.relation.AncestorRelation.CommonAncestor

invert() - Method in class network.aika.neuron.relation.AncestorRelation.IsAncestorOf

invert() - Method in class network.aika.neuron.relation.AncestorRelation.IsDescendantOf

invert() - Method in class network.aika.neuron.relation.AncestorRelation.NotAncestorOf

invert() - Method in class network.aika.neuron.relation.AncestorRelation.NotDescendantOf

invert() - Method in class network.aika.neuron.relation.MultiRelation

invert() - Method in class network.aika.neuron.relation.PositionRelation.Equals

invert() - Method in class network.aika.neuron.relation.PositionRelation.GreaterThan

invert() - Method in class network.aika.neuron.relation.PositionRelation.LessThan

invert() - Method in class network.aika.neuron.relation.Relation.Any

invert() - Method in class network.aika.neuron.relation.Relation

IS_ANCESTOR_OF - Static variable in class network.aika.neuron.relation.AncestorRelation

IS_DESCENDANT_OF - Static variable in class network.aika.neuron.relation.AncestorRelation

isActive() - Method in class network.aika.neuron.activation.search.Option

IsAncestorOf() - Constructor for class network.aika.neuron.relation.AncestorRelation.IsAncestorOf

isComplete() - Method in class network.aika.lattice.activation.AndActivation

isConvertible() - Method in class network.aika.lattice.refinement.Refinement

IsDescendantOf() - Constructor for class network.aika.neuron.relation.AncestorRelation.IsDescendantOf

isEmpty(Document) - Method in class network.aika.neuron.INeuron

isExact() - Method in class network.aika.lattice.refinement.RelationsMap

isExact() - Method in class network.aika.neuron.relation.AncestorRelation

isExact() - Method in class network.aika.neuron.relation.MultiRelation

isExact() - Method in class network.aika.neuron.relation.PositionRelation.Equals

isExact() - Method in class network.aika.neuron.relation.PositionRelation.GreaterThan

isExact() - Method in class network.aika.neuron.relation.PositionRelation.LessThan

isExact() - Method in class network.aika.neuron.relation.Relation.Any

isExact() - Method in class network.aika.neuron.relation.Relation

isFinalActivation() - Method in class network.aika.neuron.activation.Activation

isIdentity() - Method in class network.aika.neuron.activation.link.Link

isIdentity() - Method in class network.aika.neuron.Synapse

isInactive() - Method in class network.aika.neuron.activation.link.Link

isInactive() - Method in class network.aika.neuron.Synapse

isInactive(Synapse.State) - Method in class network.aika.neuron.Synapse

isMarkedDeleted() - Method in class network.aika.Provider

isNegative(Synapse.State) - Method in class network.aika.neuron.activation.link.Link

isNegative(Synapse.State) - Method in class network.aika.neuron.Synapse

isNeuron() - Method in class network.aika.AbstractNode

isNeuron() - Method in class network.aika.lattice.Node

isNeuron() - Method in class network.aika.neuron.INeuron

isPassiveInputNeuron() - Method in class network.aika.neuron.INeuron

isQueued() - Method in class network.aika.neuron.activation.search.Option

isQueued(int, long) - Method in class network.aika.lattice.Node

isRecurrent() - Method in class network.aika.neuron.activation.link.Link

isRecurrent() - Method in class network.aika.neuron.Synapse

isRequired() - Method in class network.aika.lattice.Node

isSuspended() - Method in class network.aika.Provider

isWeak(Synapse.State) - Method in class network.aika.neuron.Synapse

isWeakIntern(Synapse.State) - Method in class network.aika.neuron.Synapse

isZero() - Method in class network.aika.neuron.Synapse

L

lastCleanup - Variable in class network.aika.Model

lastUsedDocumentId - Variable in class network.aika.AbstractNode

lateLinking() - Method in class network.aika.neuron.activation.link.Linker

length() - Method in class network.aika.Document

length() - Method in class network.aika.lattice.refinement.RelationsMap

length() - Method in class network.aika.neuron.activation.Activation

LessThan() - Constructor for class network.aika.neuron.relation.PositionRelation.LessThan

LessThan(int, int, boolean) - Constructor for class network.aika.neuron.relation.PositionRelation.LessThan

LessThan(int, int, boolean, int) - Constructor for class network.aika.neuron.relation.PositionRelation.LessThan

level - Variable in class network.aika.lattice.Node

LIMITED - network.aika.neuron.activation.search.SearchNode.DebugState

LIMITED_RECTIFIED_LINEAR_UNIT - network.aika.ActivationFunction

link() - Method in class network.aika.neuron.activation.link.Link

link() - Method in class network.aika.neuron.activation.search.Option

link() - Method in class network.aika.neuron.Synapse

link(OrActivation.Link) - Method in class network.aika.lattice.activation.OrActivation

link(Refinement, RefValue, InputActivation, NodeActivation<?>) - Method in class network.aika.lattice.activation.AndActivation

link(Link, Option) - Method in class network.aika.neuron.activation.search.Option

link(Neuron, int, int) - Method in class network.aika.neuron.relation.Relation

link(Synapse, Activation, Activation) - Method in class network.aika.neuron.activation.link.Linker

Link - Class in network.aika.neuron.activation.link

Link(OrEntry, NodeActivation<?>) - Constructor for class network.aika.lattice.activation.OrActivation.Link

Link(Refinement, RefValue, InputActivation, NodeActivation<?>, AndActivation) - Constructor for class network.aika.lattice.activation.AndActivation.Link

Link(Synapse, Activation, Activation) - Constructor for class network.aika.neuron.activation.link.Link

Linker - Class in network.aika.neuron.activation.link

The Linker class is responsible for for the linkage of neuron activations.

Linker(Document) - Constructor for class network.aika.neuron.activation.link.Linker

linkInput(Activation) - Method in class network.aika.neuron.activation.link.Linker

linkOutputActivation(Activation) - Method in class network.aika.lattice.activation.OrActivation.Link

linksAnyOutput() - Method in class network.aika.neuron.Synapse

linksToString() - Method in class network.aika.neuron.activation.Activation

lock - Variable in class network.aika.lattice.Node

logicToString() - Method in class network.aika.lattice.AndNode

logicToString() - Method in class network.aika.lattice.InputNode

logicToString() - Method in class network.aika.lattice.Node

logicToString() - Method in class network.aika.lattice.OrNode

lookupFinalPosition(int) - Method in class network.aika.Document

lookupNeuron(int) - Method in class network.aika.Model

lookupNodeProvider(int) - Method in class network.aika.Model

lookupSlot(int) - Method in class network.aika.neuron.activation.Activation

lowerBoundEquals(State) - Method in class network.aika.neuron.activation.State

M

mapSlots(Map<Integer, Position>, Activation) - Method in class network.aika.neuron.relation.AncestorRelation

mapSlots(Map<Integer, Position>, Activation) - Method in class network.aika.neuron.relation.MultiRelation

mapSlots(Map<Integer, Position>, Activation) - Method in class network.aika.neuron.relation.PositionRelation.Equals

mapSlots(Map<Integer, Position>, Activation) - Method in class network.aika.neuron.relation.PositionRelation

mapSlots(Map<Integer, Position>, Activation) - Method in class network.aika.neuron.relation.Relation.Any

mapSlots(Map<Integer, Position>, Activation) - Method in class network.aika.neuron.relation.Relation

markedAncDesc - Variable in class network.aika.neuron.activation.Activation

markHasCandidate(long) - Method in class network.aika.neuron.activation.Activation

match(Predicate<Link>) - Method in class network.aika.neuron.activation.Activation

max(Integer, Integer) - Static method in class network.aika.Utils

MAX - Static variable in class network.aika.lattice.refinement.RelationsMap

MAX - Static variable in class network.aika.neuron.activation.Position

MAX_ACTIVATION - Static variable in class network.aika.neuron.activation.Activation

MAX_AND_NODE_SIZE - Static variable in class network.aika.lattice.Converter

MAX_NEURON - Static variable in class network.aika.neuron.INeuron

MAX_NEURON - Static variable in class network.aika.neuron.Neuron

MAX_NODE - Static variable in class network.aika.lattice.Node

MAX_ROUND - Static variable in class network.aika.Document

MAX_SEARCH_STEPS - Static variable in class network.aika.neuron.activation.search.SearchNode

MAX_SELF_REFERENCING_DEPTH - Static variable in class network.aika.neuron.activation.Activation

MIN - Static variable in class network.aika.lattice.refinement.RelationsMap

MIN - Static variable in class network.aika.neuron.activation.Position

MIN_ACTIVATION - Static variable in class network.aika.neuron.activation.Activation

MIN_NEURON - Static variable in class network.aika.neuron.INeuron

MIN_NEURON - Static variable in class network.aika.neuron.Neuron

MIN_NODE - Static variable in class network.aika.lattice.Node

model - Variable in class network.aika.Provider

Model - Class in network.aika

The model consists of two layers.

Model() - Constructor for class network.aika.Model

Creates a model with a single thread.

Model(SuspensionHook, int) - Constructor for class network.aika.Model

Model.StaleDocumentException - Exception in network.aika

modelLabelCallback - Variable in class network.aika.Model

ModelLabelCallback - Interface in network.aika

modified - Variable in class network.aika.AbstractNode

MultiRelation - Class in network.aika.neuron.relation

MultiRelation() - Constructor for class network.aika.neuron.relation.MultiRelation

MultiRelation(SortedMap<Relation, Relation>) - Constructor for class network.aika.neuron.relation.MultiRelation

MultiRelation(Relation...) - Constructor for class network.aika.neuron.relation.MultiRelation

N

needsPropagation(SearchNode, boolean, boolean) - Method in class network.aika.neuron.activation.Activation

net - Variable in class network.aika.neuron.activation.Activation.Builder

net - Variable in class network.aika.neuron.activation.State

network.aika - package network.aika

network.aika.lattice - package network.aika.lattice

network.aika.lattice.activation - package network.aika.lattice.activation

network.aika.lattice.refinement - package network.aika.lattice.refinement

network.aika.neuron - package network.aika.neuron

network.aika.neuron.activation - package network.aika.neuron.activation

network.aika.neuron.activation.link - package network.aika.neuron.activation.link

network.aika.neuron.activation.search - package network.aika.neuron.activation.search

network.aika.neuron.relation - package network.aika.neuron.relation

Neuron - Class in network.aika.neuron

The Neuron class is a proxy implementation for the real neuron implementation in the class INeuron.

Neuron(Model, int) - Constructor for class network.aika.neuron.Neuron

Neuron(Model, INeuron) - Constructor for class network.aika.neuron.Neuron

Neuron.Builder - Interface in network.aika.neuron

NEW - network.aika.neuron.activation.Activation.Mode

NEXT - network.aika.neuron.Synapse.State

Node<T extends Node,A extends NodeActivation<T>> - Class in network.aika.lattice

The Node class is the abstract class for all the boolean logic nodes underneath the neural network layer.

Node() - Constructor for class network.aika.lattice.Node

Node(Model, int) - Constructor for class network.aika.lattice.Node

NodeActivation<T extends Node> - Class in network.aika.lattice

NodeActivation(Document, T) - Constructor for class network.aika.lattice.NodeActivation

NodeQueue - Class in network.aika.lattice

NodeQueue(Document) - Constructor for class network.aika.lattice.NodeQueue

NOT_ANCESTOR_OF - Static variable in class network.aika.neuron.relation.AncestorRelation

NOT_DESCENDANT_OF - Static variable in class network.aika.neuron.relation.AncestorRelation

NotAncestorOf() - Constructor for class network.aika.neuron.relation.AncestorRelation.NotAncestorOf

NotDescendantOf() - Constructor for class network.aika.neuron.relation.AncestorRelation.NotDescendantOf

notifyWeightModified(Synapse) - Method in class network.aika.Document

NULL_FUNCTION - network.aika.ActivationFunction

numberOfAvailableThreads - Variable in class network.aika.Model

numberOfThreads - Variable in class network.aika.Model

O

oe - Variable in class network.aika.lattice.activation.OrActivation.Link

offsets - Variable in class network.aika.lattice.refinement.RefValue

OLD - network.aika.neuron.activation.Activation.Mode

OPTIMIZE_SEARCH - Static variable in class network.aika.neuron.activation.search.SearchNode

Option - Class in network.aika.neuron.activation.search

Option(Option, Activation, SearchNode) - Constructor for class network.aika.neuron.activation.search.Option

OrActivation - Class in network.aika.lattice.activation

OrActivation(Document, OrNode) - Constructor for class network.aika.lattice.activation.OrActivation

OrActivation.Link - Class in network.aika.lattice.activation

OrEntry - Class in network.aika.lattice.refinement

OrEntry(int[], Provider<? extends Node>, Provider<OrNode>) - Constructor for class network.aika.lattice.refinement.OrEntry

OrNode - Class in network.aika.lattice

While several neurons might share a the same input-node or and-node, there is always a always a one-to-one relation between or-nodes and neurons.

OrNode() - Constructor for class network.aika.lattice.OrNode

OrNode(Model) - Constructor for class network.aika.lattice.OrNode

OscillatingActivationsException(String) - Constructor for exception network.aika.neuron.activation.Activation.OscillatingActivationsException

output - Variable in class network.aika.lattice.activation.AndActivation.Link

OUTPUT - network.aika.neuron.activation.link.Direction

OUTPUT - Static variable in class network.aika.neuron.Synapse

OUTPUT_COMP - Static variable in class network.aika.neuron.activation.link.Link

OUTPUT_SYNAPSE_COMP - Static variable in class network.aika.neuron.Synapse

outputOptions - Variable in class network.aika.neuron.activation.search.Option

outputsToAndNode - Variable in class network.aika.lattice.NodeActivation

outputsToOrNode - Variable in class network.aika.lattice.NodeActivation

OVERLAPS - Static variable in class network.aika.neuron.relation.Relation

P

p - Variable in class network.aika.neuron.activation.search.Option

parent - Variable in class network.aika.lattice.refinement.OrEntry

parent - Variable in class network.aika.lattice.refinement.RefValue

parents - Variable in class network.aika.lattice.AndNode

passiveActivationFunctions - Variable in class network.aika.Model

PassiveInputFunction - Interface in network.aika

Position - Class in network.aika.neuron.activation

Position(Document) - Constructor for class network.aika.neuron.activation.Position

Position(Document, Integer) - Constructor for class network.aika.neuron.activation.Position

positionIdCounter - Variable in class network.aika.Document

PositionRelation - Class in network.aika.neuron.relation

PositionRelation() - Constructor for class network.aika.neuron.relation.PositionRelation

PositionRelation(int, int) - Constructor for class network.aika.neuron.relation.PositionRelation

PositionRelation.Equals - Class in network.aika.neuron.relation

PositionRelation.GreaterThan - Class in network.aika.neuron.relation

PositionRelation.LessThan - Class in network.aika.neuron.relation

positions - Variable in class network.aika.neuron.activation.Activation.Builder

postCreate(Document) - Method in class network.aika.lattice.Node

postStep(double, double) - Method in class network.aika.neuron.activation.search.Branch

prepareStep(Document, SearchNode) - Method in class network.aika.neuron.activation.search.Branch

process() - Method in class network.aika.Document

The method process needs to be called after all the input activations have been added to the network.

process() - Method in class network.aika.lattice.NodeQueue

process() - Method in class network.aika.neuron.activation.link.Linker

process() - Method in class network.aika.neuron.activation.UpperBoundQueue

process(Long) - Method in class network.aika.Document

process(SearchNode) - Method in class network.aika.neuron.activation.Activation

process(SearchNode) - Method in class network.aika.neuron.activation.ValueQueue

processBounds() - Method in class network.aika.neuron.activation.Activation

processChanges(Document) - Method in class network.aika.lattice.Node

Process all added or removed activation for this logic node.

propagate() - Method in class network.aika.Document

propagate(A) - Method in class network.aika.lattice.Node

Propagate an activation to the next node or the next neuron that is depending on the current node.

propagate(AndActivation) - Method in class network.aika.lattice.AndNode

propagate(InputActivation) - Method in class network.aika.lattice.InputNode

propagate(OrActivation) - Method in class network.aika.lattice.OrNode

propagate(Activation) - Method in class network.aika.neuron.INeuron

propagateActivationValue(Activation, SearchNode, boolean, boolean) - Method in class network.aika.neuron.activation.ValueQueue

propagateToOrNode(NodeActivation) - Method in class network.aika.lattice.Node

provider - Variable in class network.aika.AbstractNode

Provider<T extends AbstractNode> - Class in network.aika

Provider(Model, int) - Constructor for class network.aika.Provider

Provider(Model, T) - Constructor for class network.aika.Provider

Provider.SuspensionMode - Enum in network.aika

providers - Variable in class network.aika.Model

R

reactivate() - Method in class network.aika.AbstractNode

reactivate() - Method in class network.aika.neuron.INeuron

read(DataInput, Model) - Static method in class network.aika.lattice.refinement.OrEntry

read(DataInput, Model) - Static method in class network.aika.lattice.refinement.Refinement

read(DataInput, Model) - Static method in class network.aika.lattice.refinement.RefValue

read(DataInput, Model) - Static method in class network.aika.lattice.refinement.RelationsMap

read(DataInput, Model) - Static method in class network.aika.neuron.INeuron.SynapseSummary

read(DataInput, Model) - Static method in class network.aika.neuron.relation.Relation

read(DataInput, P) - Static method in class network.aika.AbstractNode

readFields(DataInput, Model) - Method in class network.aika.AbstractNode

readFields(DataInput, Model) - Method in class network.aika.lattice.AndNode

readFields(DataInput, Model) - Method in class network.aika.lattice.InputNode

readFields(DataInput, Model) - Method in class network.aika.lattice.Node

readFields(DataInput, Model) - Method in class network.aika.lattice.OrNode

readFields(DataInput, Model) - Method in class network.aika.lattice.refinement.OrEntry

readFields(DataInput, Model) - Method in class network.aika.lattice.refinement.Refinement

readFields(DataInput, Model) - Method in class network.aika.lattice.refinement.RefValue

readFields(DataInput, Model) - Method in class network.aika.lattice.refinement.RelationsMap

readFields(DataInput, Model) - Method in class network.aika.neuron.INeuron

readFields(DataInput, Model) - Method in class network.aika.neuron.INeuron.SynapseSummary

readFields(DataInput, Model) - Method in class network.aika.neuron.relation.MultiRelation

readFields(DataInput, Model) - Method in class network.aika.neuron.relation.PositionRelation.GreaterThan

readFields(DataInput, Model) - Method in class network.aika.neuron.relation.PositionRelation.LessThan

readFields(DataInput, Model) - Method in class network.aika.neuron.relation.PositionRelation

readFields(DataInput, Model) - Method in class network.aika.neuron.relation.Relation

readFields(DataInput, Model) - Method in class network.aika.neuron.Synapse

readFields(DataInput, Model) - Method in interface network.aika.Writable

Deserialize the fields of this object from in.

readNeuron(DataInput, Neuron) - Method in class network.aika.Model

readNode(DataInput, Provider) - Static method in class network.aika.lattice.Node

readSynapse(DataInput) - Method in class network.aika.Model

ReadWriteLock - Class in network.aika

ReadWriteLock() - Constructor for class network.aika.ReadWriteLock

RECTIFIED_HYPERBOLIC_TANGENT - network.aika.ActivationFunction

RECTIFIED_LINEAR_UNIT - network.aika.ActivationFunction

RecursiveDepthExceededException() - Constructor for exception network.aika.neuron.activation.Activation.RecursiveDepthExceededException

ref - Variable in class network.aika.lattice.activation.AndActivation.Link

ref - Variable in class network.aika.lattice.AndNode.Entry

refAct - Variable in class network.aika.lattice.activation.AndActivation.Link

Refinement - Class in network.aika.lattice.refinement

Refinement(RelationsMap, Provider<InputNode>) - Constructor for class network.aika.lattice.refinement.Refinement

refOffset - Variable in class network.aika.lattice.refinement.RefValue

RefValue - Class in network.aika.lattice.refinement

RefValue(Integer[], int, Provider<? extends Node>) - Constructor for class network.aika.lattice.refinement.RefValue

register(A) - Method in class network.aika.lattice.Node

register(Activation) - Method in class network.aika.neuron.INeuron

register(Provider) - Method in class network.aika.Model

registered - Variable in class network.aika.lattice.NodeActivation

registerPassiveInputSynapse(Synapse) - Method in class network.aika.neuron.INeuron

registerRelation(int, Relation.RelationFactory) - Static method in class network.aika.neuron.relation.Relation

registerSynapseId(int) - Method in class network.aika.neuron.Neuron

registerSynapseId(Integer) - Method in class network.aika.neuron.INeuron

registerSynapseIds(Neuron) - Method in interface network.aika.neuron.Neuron.Builder

registerSynapseIds(Neuron) - Method in class network.aika.neuron.relation.Relation.Builder

registerSynapseIds(Neuron) - Method in class network.aika.neuron.Synapse.Builder

relation - Variable in class network.aika.neuron.relation.Relation.Builder

Relation - Class in network.aika.neuron.relation

Relation() - Constructor for class network.aika.neuron.relation.Relation

Relation.Any - Class in network.aika.neuron.relation

Relation.Builder - Class in network.aika.neuron.relation

Relation.RelationFactory - Interface in network.aika.neuron.relation

relationRegistry - Static variable in class network.aika.neuron.relation.Relation

relations - Variable in class network.aika.lattice.refinement.Refinement

relations - Variable in class network.aika.lattice.refinement.RelationsMap

RelationsMap - Class in network.aika.lattice.refinement

RelationsMap() - Constructor for class network.aika.lattice.refinement.RelationsMap

RelationsMap(Relation[]) - Constructor for class network.aika.lattice.refinement.RelationsMap

releaseReadLock() - Method in class network.aika.ReadWriteLock

releaseThread(Document) - Method in class network.aika.Model

releaseWriteLock() - Method in class network.aika.ReadWriteLock

remainingWeight - Variable in class network.aika.neuron.activation.search.Option

remove() - Method in class network.aika.lattice.AndNode

remove() - Method in class network.aika.lattice.Node

remove() - Method in class network.aika.neuron.INeuron

removeProvider(Provider) - Method in class network.aika.Model

removeRelation(Integer, Integer, Neuron, Relation) - Static method in class network.aika.neuron.relation.Relation

removeRelation(Map<Integer, Relation>, Integer, Relation) - Static method in class network.aika.neuron.relation.Relation

removeRelation(Relation) - Method in class network.aika.neuron.relation.MultiRelation

repeat() - Method in class network.aika.neuron.activation.search.Branch

reprocessInputs(Document) - Method in class network.aika.lattice.AndNode

reprocessInputs(Document) - Method in class network.aika.lattice.InputNode

reprocessInputs(Document) - Method in class network.aika.lattice.Node

reprocessInputs(Document) - Method in class network.aika.lattice.OrNode

repropagateV - Variable in class network.aika.lattice.NodeActivation

restoreState(Activation.Mode) - Method in class network.aika.neuron.activation.search.Option

retrieve(int) - Method in interface network.aika.SuspensionHook

reverseOffsets - Variable in class network.aika.lattice.refinement.RefValue

revSynapseIds - Variable in class network.aika.lattice.refinement.OrEntry

rootOption - Variable in class network.aika.neuron.activation.Activation

round - Variable in class network.aika.neuron.activation.search.Option

round(double) - Static method in class network.aika.Utils

rv - Variable in class network.aika.lattice.activation.AndActivation.Link

rv - Variable in class network.aika.lattice.AndNode.Entry

S

save() - Method in class network.aika.Provider

SAVE - network.aika.Provider.SuspensionMode

saveState(SearchNode) - Method in class network.aika.neuron.activation.Activation

search(Document, SearchNode, long, Long) - Static method in class network.aika.neuron.activation.search.SearchNode

Searches for the best interpretation for the given document.

searchNode - Variable in class network.aika.neuron.activation.search.Option

SearchNode - Class in network.aika.neuron.activation.search

The SearchNode class represents a node in the binary search tree that is used to find the optimal interpretation for a given document.

SearchNode(Document, Decision, SearchNode, int) - Constructor for class network.aika.neuron.activation.search.SearchNode

SearchNode.DebugState - Enum in network.aika.neuron.activation.search

SearchNode.TimeoutException - Exception in network.aika.neuron.activation.search

searchNodeIdCounter - Variable in class network.aika.Document

searchStateToString() - Method in class network.aika.neuron.activation.Activation

searchStepCounter - Variable in class network.aika.Document

selected - Variable in class network.aika.neuron.activation.search.SearchNode

SELECTED - network.aika.neuron.activation.search.Decision

selectedSearchNode - Variable in class network.aika.Document

selectInputSynapse(Neuron, Predicate<Synapse>) - Method in class network.aika.neuron.Neuron

setActivationFunction(ActivationFunction) - Method in class network.aika.neuron.INeuron

setActivationFunction(ActivationFunction) - Method in class network.aika.neuron.Neuron

setBias(double) - Method in class network.aika.neuron.INeuron

setCacheFactor(int) - Method in class network.aika.neuron.activation.search.Option

setCandidateId(Integer) - Method in class network.aika.neuron.activation.Activation

setFinalPosition(int) - Method in class network.aika.neuron.activation.Position

setFrom(int) - Method in class network.aika.neuron.relation.Relation.Builder

This parameter allows to specify whether the relations connected to thy synapse refer to the activation of the input neuron (that's the default) or if the should refer to one of the input activations of the input neuron.

setFromSynapseId(int) - Method in class network.aika.neuron.relation.Relation

setIdentity(boolean) - Method in class network.aika.neuron.Synapse.Builder

setIdentity(boolean) - Method in class network.aika.neuron.Synapse

setInactive(Synapse.State, boolean) - Method in class network.aika.neuron.Synapse

setInputNeuron(Neuron) - Method in class network.aika.lattice.InputNode

setInputNodeActivation(OrActivation) - Method in class network.aika.neuron.activation.Activation

setInputState(Activation.Builder) - Method in class network.aika.neuron.activation.Activation

setLimit(double) - Method in class network.aika.neuron.Synapse.Builder

setLowerBound(double) - Method in class network.aika.neuron.activation.Activation

setModelLabelCallback(ModelLabelCallback) - Method in class network.aika.Model

setModified() - Method in class network.aika.AbstractNode

setNeuron(INeuron) - Method in class network.aika.neuron.Synapse.Builder

Determines the input neuron.

setNeuron(Neuron) - Method in class network.aika.neuron.Synapse.Builder

Determines the input neuron.

setNotQueued(int) - Method in class network.aika.lattice.Node

setOutput(OrActivation) - Method in class network.aika.lattice.activation.OrActivation.Link

setOutputAct(Activation) - Method in class network.aika.lattice.activation.OrActivation

setOutputNeuron(Neuron) - Method in class network.aika.lattice.OrNode

setOutputNode(Provider<InputNode>) - Method in class network.aika.neuron.INeuron

setOutputNodeActivation(InputActivation) - Method in class network.aika.neuron.activation.Activation

setOutputText(String) - Method in class network.aika.neuron.INeuron

setOutputText(String) - Method in class network.aika.neuron.Neuron

setPassiveInputFunction(PassiveInputFunction) - Method in class network.aika.neuron.Neuron

setPosition(int, int) - Method in class network.aika.neuron.activation.Activation.Builder

setQueued(boolean) - Method in class network.aika.neuron.activation.search.Option

setRange(int, int) - Method in class network.aika.neuron.activation.Activation.Builder

setRecurrent(boolean) - Method in class network.aika.neuron.Synapse.Builder

The property recurrent specifies if input is a recurrent feedback link.

setRecurrent(boolean) - Method in class network.aika.neuron.Synapse

setRelation(Relation) - Method in class network.aika.neuron.relation.Relation.Builder

setRelations(Map<Integer, Relation>) - Method in class network.aika.neuron.Synapse

setState(State) - Method in class network.aika.neuron.activation.search.Option

setSuspensionHook(SuspensionHook) - Method in class network.aika.Model

setSynapseId(int) - Method in class network.aika.neuron.Synapse.Builder

setTargetValue(Double) - Method in class network.aika.neuron.activation.Activation.Builder

setTo(int) - Method in class network.aika.neuron.relation.Relation.Builder

setToSynapseId(int) - Method in class network.aika.neuron.relation.Relation

setType(INeuron.Type) - Method in class network.aika.neuron.INeuron

setType(INeuron.Type) - Method in class network.aika.neuron.Neuron

setUpperBound(double) - Method in class network.aika.neuron.activation.Activation

setValue(double) - Method in class network.aika.neuron.activation.Activation.Builder

setWeight(double) - Method in class network.aika.neuron.activation.search.Option

setWeight(double) - Method in class network.aika.neuron.activation.search.SearchNode

setWeight(double) - Method in class network.aika.neuron.Synapse.Builder

The synapse weight of this input.

sigmoid(double) - Static method in enum network.aika.ActivationFunction

size() - Method in class network.aika.lattice.activation.OrActivation.Link

size() - Method in class network.aika.lattice.refinement.RelationsMap

size() - Method in class network.aika.neuron.relation.MultiRelation

size(Document) - Method in class network.aika.neuron.INeuron

slotsToString() - Method in class network.aika.neuron.activation.Activation

StaleDocumentException() - Constructor for exception network.aika.Model.StaleDocumentException

State - Class in network.aika.neuron.activation

A State object contains the activation value of an activation object that belongs to a neuron.

State(double, double, double, Integer, double) - Constructor for class network.aika.neuron.activation.State

store(int, String, Set<String>, boolean, byte[]) - Method in interface network.aika.SuspensionHook

storeFinalState() - Method in class network.aika.Document

suspend() - Method in class network.aika.AbstractNode

suspend() - Method in class network.aika.neuron.INeuron

suspend(Provider.SuspensionMode) - Method in class network.aika.Provider

suspendAll(Provider.SuspensionMode) - Method in class network.aika.Model

Suspend all neurons and logic nodes in memory.

suspendUnusedNodes(int, Provider.SuspensionMode) - Method in class network.aika.Model

Suspend all neurons and logic nodes whose last used document id is lower/older than docId.

suspensionHook - Variable in class network.aika.Model

SuspensionHook - Interface in network.aika

The suspension hook is used to suspend neurons and logic nodes to an external storage in order to reduce the memory footprint. !!!

Synapse - Class in network.aika.neuron

The Synapse class connects two neurons with each other.

Synapse() - Constructor for class network.aika.neuron.Synapse

Synapse(Neuron, Neuron, Integer) - Constructor for class network.aika.neuron.Synapse

SYNAPSE_COMP - Static variable in class network.aika.lattice.Converter

Synapse.Builder - Class in network.aika.neuron

The Builder class is just a helper class which is used to initialize a neuron.

Synapse.InvalidInhibitoryNeuronSynapse - Exception in network.aika.neuron

Synapse.State - Enum in network.aika.neuron

Synapse.SynapseFactory - Interface in network.aika.neuron

synapseIds - Variable in class network.aika.lattice.refinement.OrEntry

SynapseSummary() - Constructor for class network.aika.neuron.INeuron.SynapseSummary

T

targetValue - Variable in class network.aika.neuron.activation.Activation.Builder

test(Activation, Activation, boolean) - Method in class network.aika.neuron.relation.AncestorRelation.CommonAncestor

test(Activation, Activation, boolean) - Method in class network.aika.neuron.relation.AncestorRelation.IsAncestorOf

test(Activation, Activation, boolean) - Method in class network.aika.neuron.relation.AncestorRelation.IsDescendantOf

test(Activation, Activation, boolean) - Method in class network.aika.neuron.relation.AncestorRelation.NotAncestorOf

test(Activation, Activation, boolean) - Method in class network.aika.neuron.relation.AncestorRelation.NotDescendantOf

test(Activation, Activation, boolean) - Method in class network.aika.neuron.relation.MultiRelation

test(Activation, Activation, boolean) - Method in class network.aika.neuron.relation.PositionRelation

test(Activation, Activation, boolean) - Method in class network.aika.neuron.relation.Relation.Any

test(Activation, Activation, boolean) - Method in class network.aika.neuron.relation.Relation

test(Position, Position) - Method in class network.aika.neuron.relation.PositionRelation.Equals

test(Position, Position) - Method in class network.aika.neuron.relation.PositionRelation.GreaterThan

test(Position, Position) - Method in class network.aika.neuron.relation.PositionRelation.LessThan

test(Position, Position) - Method in class network.aika.neuron.relation.PositionRelation

TimeoutException(String) - Constructor for exception network.aika.neuron.activation.search.SearchNode.TimeoutException

to - Variable in class network.aika.neuron.relation.Relation.Builder

toDetailedString() - Method in class network.aika.neuron.INeuron

TOLERANCE - Static variable in class network.aika.neuron.Synapse

toSlot - Variable in class network.aika.neuron.relation.PositionRelation

toString() - Method in class network.aika.Document

toString() - Method in class network.aika.lattice.activation.AndActivation

toString() - Method in class network.aika.lattice.activation.InputActivation

toString() - Method in class network.aika.lattice.Node

toString() - Method in class network.aika.lattice.refinement.Refinement

toString() - Method in class network.aika.lattice.refinement.RelationsMap

toString() - Method in class network.aika.neuron.activation.Activation

toString() - Method in class network.aika.neuron.activation.link.Link

toString() - Method in class network.aika.neuron.activation.Position

toString() - Method in class network.aika.neuron.activation.search.Option

toString() - Method in class network.aika.neuron.activation.search.SearchNode

toString() - Method in class network.aika.neuron.activation.State

toString() - Method in class network.aika.neuron.INeuron

toString() - Method in class network.aika.neuron.Neuron

toString() - Method in class network.aika.neuron.relation.AncestorRelation.CommonAncestor

toString() - Method in class network.aika.neuron.relation.AncestorRelation.IsAncestorOf

toString() - Method in class network.aika.neuron.relation.AncestorRelation.IsDescendantOf

toString() - Method in class network.aika.neuron.relation.AncestorRelation.NotAncestorOf

toString() - Method in class network.aika.neuron.relation.AncestorRelation.NotDescendantOf

toString() - Method in class network.aika.neuron.relation.MultiRelation

toString() - Method in class network.aika.neuron.relation.PositionRelation.Equals

toString() - Method in class network.aika.neuron.relation.PositionRelation.GreaterThan

toString() - Method in class network.aika.neuron.relation.PositionRelation.LessThan

toString() - Method in class network.aika.neuron.Synapse

toString() - Method in class network.aika.Provider

toStringDetailed() - Method in class network.aika.neuron.activation.Activation

toStringWithSynapses() - Method in class network.aika.neuron.INeuron

traverse(Consumer<Option>) - Method in class network.aika.neuron.activation.search.Option

TYPE - Static variable in class network.aika.neuron.relation.AncestorRelation.CommonAncestor

TYPE - Static variable in class network.aika.neuron.relation.AncestorRelation.IsAncestorOf

TYPE - Static variable in class network.aika.neuron.relation.AncestorRelation.IsDescendantOf

TYPE - Static variable in class network.aika.neuron.relation.AncestorRelation.NotAncestorOf

TYPE - Static variable in class network.aika.neuron.relation.AncestorRelation.NotDescendantOf

TYPE - Static variable in class network.aika.neuron.relation.PositionRelation.Equals

TYPE - Static variable in class network.aika.neuron.relation.PositionRelation.GreaterThan

TYPE - Static variable in class network.aika.neuron.relation.PositionRelation.LessThan

typeToString() - Method in class network.aika.neuron.INeuron

U

ub - Variable in class network.aika.neuron.activation.State

UNKNOWN - network.aika.neuron.activation.search.Decision

unlink() - Method in class network.aika.neuron.Synapse

unregister(Provider) - Method in class network.aika.Model

update(Document, double, double) - Method in class network.aika.neuron.Synapse

updateActivations(Document) - Method in class network.aika.neuron.activation.search.SearchNode

updateBiasDelta(double) - Method in class network.aika.neuron.INeuron

updateDelta(Document, double, double) - Method in class network.aika.neuron.Synapse

updateSynapse(Synapse) - Method in class network.aika.neuron.INeuron.SynapseSummary

upperBoundEquals(State) - Method in class network.aika.neuron.activation.State

UpperBoundQueue - Class in network.aika.neuron.activation

UpperBoundQueue() - Constructor for class network.aika.neuron.activation.UpperBoundQueue

Utils - Class in network.aika

Utils() - Constructor for class network.aika.Utils

V

value - Variable in class network.aika.neuron.activation.Activation.Builder

value - Variable in class network.aika.neuron.activation.State

valueOf(String) - Static method in enum network.aika.ActivationFunction

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum network.aika.neuron.activation.Activation.Mode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum network.aika.neuron.activation.link.Direction

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum network.aika.neuron.activation.search.Decision

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum network.aika.neuron.activation.search.SearchNode.DebugState

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum network.aika.neuron.INeuron.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum network.aika.neuron.Synapse.State

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum network.aika.Provider.SuspensionMode

Returns the enum constant of this type with the specified name.

ValueQueue - Class in network.aika.neuron.activation

ValueQueue() - Constructor for class network.aika.neuron.activation.ValueQueue

values() - Static method in enum network.aika.ActivationFunction

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum network.aika.neuron.activation.Activation.Mode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum network.aika.neuron.activation.link.Direction

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum network.aika.neuron.activation.search.Decision

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum network.aika.neuron.activation.search.SearchNode.DebugState

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum network.aika.neuron.INeuron.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum network.aika.neuron.Synapse.State

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum network.aika.Provider.SuspensionMode

Returns an array containing the constants of this enum type, in the order they are declared.

visitedCounter - Static variable in class network.aika.Model

W

weight - Variable in class network.aika.neuron.activation.State

WEIGHT_TOLERANCE - Static variable in class network.aika.neuron.INeuron

Writable - Interface in network.aika

write(DataOutput) - Method in class network.aika.AbstractNode

write(DataOutput) - Method in class network.aika.lattice.AndNode

write(DataOutput) - Method in class network.aika.lattice.InputNode

write(DataOutput) - Method in class network.aika.lattice.Node

write(DataOutput) - Method in class network.aika.lattice.OrNode

write(DataOutput) - Method in class network.aika.lattice.refinement.OrEntry

write(DataOutput) - Method in class network.aika.lattice.refinement.Refinement

write(DataOutput) - Method in class network.aika.lattice.refinement.RefValue

write(DataOutput) - Method in class network.aika.lattice.refinement.RelationsMap

write(DataOutput) - Method in class network.aika.neuron.INeuron.SynapseSummary

write(DataOutput) - Method in class network.aika.neuron.INeuron

write(DataOutput) - Method in class network.aika.neuron.relation.MultiRelation

write(DataOutput) - Method in class network.aika.neuron.relation.PositionRelation.GreaterThan

write(DataOutput) - Method in class network.aika.neuron.relation.PositionRelation.LessThan

write(DataOutput) - Method in class network.aika.neuron.relation.PositionRelation

write(DataOutput) - Method in class network.aika.neuron.relation.Relation

write(DataOutput) - Method in class network.aika.neuron.Synapse

write(DataOutput) - Method in interface network.aika.Writable

Serialize the fields of this object to out.

writeSynapse(Synapse, DataOutput) - Method in class network.aika.Model

Z

ZERO - Static variable in class network.aika.neuron.activation.State

A B C D E F G H I L M N O P R S T U V W Z
All Classes All Packages