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

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

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

The SynapseActivation mirror the synapse link in the network of activations.

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

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

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

Since Aika is a recurrent neural network, it is necessary to compute several rounds of activation values.

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

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

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

The StateChange class is used to store the state change of an activation that occurs in each node of the binary search tree.

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

ActKey(int, Position, int) - Constructor for class network.aika.neuron.INeuron.ActKey

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

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

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

add(Activation.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(OrNode.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

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

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

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

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

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

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

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

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

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

Any(boolean, boolean) - 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

bias - Variable in class network.aika.neuron.Synapse.Builder

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

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.SearchNode.DebugState

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

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

Candidate - Class in network.aika.neuron.activation

Candidate(Activation, int) - Constructor for class network.aika.neuron.activation.Candidate

candidates - Variable in class network.aika.Document

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.SearchNode

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

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

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

checkSelfReferencing(boolean, int, long) - Method in class network.aika.neuron.activation.Activation

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

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

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_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.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

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

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

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

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

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

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

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

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

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

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

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.SearchNode

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

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

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

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

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

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

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

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.

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

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

createDocument(String) - Method in class network.aika.Model

createDocument(String, int) - Method in class network.aika.Model

createLinker(Document) - Method in interface network.aika.Model.LinkerFactory

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

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

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

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

createObject() - Method in interface network.aika.Model.WritableFactory

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

createV - Variable in class network.aika.Document

currentId - Variable in class network.aika.Model

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

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

D

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

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

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

defaultThreadId - Variable in class network.aika.Model

DEGRADING - network.aika.DistanceFunction

DISCARD - network.aika.Provider.SuspensionMode

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

distanceFunction - Variable in class network.aika.neuron.Synapse.Builder

DistanceFunction - Enum in network.aika

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

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

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

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

E

ENABLE_CACHING - Static variable in class network.aika.neuron.activation.SearchNode

ENABLE_CACHING_COMPARISON - Static variable in class network.aika.neuron.activation.SearchNode

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

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

equals(Activation.State) - Method in class network.aika.neuron.activation.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(int, int, boolean, boolean) - Constructor for class network.aika.neuron.relation.PositionRelation.Equals

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

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

evaluate(Activation) - Method in interface network.aika.neuron.activation.SearchNode.SkipSelectStep

EXCITATORY - network.aika.neuron.INeuron.Type

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

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

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

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

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

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

F

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

f(Activation, Activation) - Method in enum network.aika.DistanceFunction

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

finalRounds - 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.Activation.State

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

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.OrNode.Link

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.SearchNode

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

getOutputLinksBySynapse(Synapse) - 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

H

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

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

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

identity - Variable in class network.aika.neuron.Synapse.Builder

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

INCREMENTAL_MODE - Static variable in class network.aika.Document

Experimental code: not working yet!

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.ActKey - Class in network.aika.neuron

INeuron.SynapseSummary - Class in network.aika.neuron

INeuron.Type - Enum in network.aika.neuron

INHIBITORY - network.aika.neuron.INeuron.Type

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

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

Creates a neuron with the given bias.

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

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

Initializes a neuron with the given bias.

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

Creates a neuron with the given bias.

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

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

Creates a neuron with the given bias.

init(Neuron, double, INeuron.Type, 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

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

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

INPUT - network.aika.neuron.INeuron.Type

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

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

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

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

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

InputNode.InputActivation - Class in network.aika.lattice

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

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

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

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.Activation.Rounds

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

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

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

isConflicting() - Method in class network.aika.neuron.activation.Candidate

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.Linker

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

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

limit - Variable in class network.aika.neuron.Synapse.Builder

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

LIMITED_RECTIFIED_LINEAR_UNIT - network.aika.ActivationFunction

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

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

link(OrNode.OrEntry, NodeActivation<?>) - Method in class network.aika.lattice.OrNode.OrActivation

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

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

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

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

Linker - Class in network.aika.neuron.activation

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

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

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

linkerFactory - Variable in class network.aika.Model

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

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

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

linksOutputs(Set<Integer>) - Method in class network.aika.neuron.relation.AncestorRelation

linksOutputs(Set<Integer>) - Method in class network.aika.neuron.relation.MultiRelation

linksOutputs(Set<Integer>) - Method in class network.aika.neuron.relation.PositionRelation

linksOutputs(Set<Integer>) - Method in class network.aika.neuron.relation.Relation.Any

linksOutputs(Set<Integer>) - Method in class network.aika.neuron.relation.Relation

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

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

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

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

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

lookupActivation(Document, SortedMap<Integer, Position>, Predicate<Activation.Link>) - Method in class network.aika.neuron.INeuron

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

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

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

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

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

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

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

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

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

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

markPredecessor(long, int) - Method in class network.aika.neuron.activation.Activation

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

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

MAX_ROUND - Static variable in class network.aika.Document

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

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

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.LinkerFactory - Interface in network.aika

Model.WritableFactory - 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(boolean, boolean, List<Relation>) - Constructor for class network.aika.neuron.relation.MultiRelation

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

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

N

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

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

network.aika - package network.aika

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

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

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

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

neuron - Variable in class network.aika.neuron.Synapse.Builder

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

NEW - network.aika.neuron.Synapse.State

newRounds - Variable in class network.aika.neuron.activation.Activation.StateChange

newState - Variable in class network.aika.neuron.activation.Activation.StateChange

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

NONE - network.aika.DistanceFunction

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

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

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

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

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

numberOfThreads - Variable in class network.aika.Model

O

oe - Variable in class network.aika.lattice.OrNode.Link

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

OLD - network.aika.neuron.Synapse.State

oldRounds - Variable in class network.aika.neuron.activation.Activation.StateChange

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

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

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

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

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

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

OrNode.Link - Class in network.aika.lattice

OrNode.OrActivation - Class in network.aika.lattice

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

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

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

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

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

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

P

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

passiveActivationFunctions - Variable in class network.aika.Model

PassiveInputFunction - Interface in network.aika

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

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(int, int, boolean, boolean) - 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

posNet - Variable in class network.aika.neuron.activation.Activation.State

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

posValue - Variable in class network.aika.neuron.activation.Activation.State

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.Linker

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

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

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

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

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

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

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

propagateActivationValue(int, Activation) - 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.neuron.INeuron.SynapseSummary

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

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

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

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.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) - Static method in class network.aika.neuron.INeuron

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

ReadWriteLock - Class in network.aika

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

RECTIFIED_HYPERBOLIC_TANGENT - network.aika.ActivationFunction

RECTIFIED_LINEAR_UNIT - network.aika.ActivationFunction

RECTIFIED_SCALED_LOGISTIC_SIGMOID - network.aika.ActivationFunction

recurrent - Variable in class network.aika.neuron.Synapse.Builder

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

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

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

registerRequiredSlots(Neuron) - Method in class network.aika.neuron.relation.PositionRelation

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

registerRequiredSlots(Neuron) - 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 - Class in network.aika.neuron.relation

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

Relation(boolean, boolean) - 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

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

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

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

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

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

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

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

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

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

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

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

ROUND_LIMIT - Static variable in class network.aika.Document

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

rounds - Variable in class network.aika.neuron.activation.Activation.Rounds

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

S

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

SAVE - network.aika.Provider.SuspensionMode

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

saveOldState(Map<Activation, Activation.StateChange>, long) - Method in class network.aika.neuron.activation.Activation

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

Searches for the best interpretation for the given document.

SearchNode - Class in network.aika.neuron.activation

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, SearchNode, SearchNode, int) - Constructor for class network.aika.neuron.activation.SearchNode

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

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

SearchNode.SkipSelectStep - Interface in network.aika.neuron.activation

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

searchNodeIdCounter - Variable in class network.aika.Document

searchStepCounter - Variable in class network.aika.Document

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

selectedSearchNode - Variable in class network.aika.Document

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

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

set(int, Activation.State) - Method in class network.aika.neuron.activation.Activation.Rounds

setActivationExtensionFactory(Model.WritableFactory) - Method in class network.aika.Model

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

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

The bias of this input that will later on be added to the neurons bias.

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

setDecision(SearchNode.Decision, long) - Method in class network.aika.neuron.activation.Activation

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

setDistanceFunction(DistanceFunction) - Method in class network.aika.neuron.Synapse

setExtension(Writable) - Method in class network.aika.neuron.Synapse

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

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

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.

setId(int) - Method in class network.aika.neuron.activation.Candidate

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

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

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

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

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

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

setLinkerFactory(Model.LinkerFactory) - Method in class network.aika.Model

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

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

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

Determines the input neuron.

setNeuronExtensionFactory(Model.WritableFactory) - Method in class network.aika.Model

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

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.AncestorRelation.CommonAncestor

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.AncestorRelation.IsAncestorOf

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.AncestorRelation.IsDescendantOf

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.AncestorRelation.NotAncestorOf

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.AncestorRelation.NotDescendantOf

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.MultiRelation

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.PositionRelation.Equals

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.PositionRelation.GreaterThan

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.PositionRelation.LessThan

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.Relation.Any

setOptionalAndFollow(boolean, boolean) - Method in class network.aika.neuron.relation.Relation

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

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

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

setOutputNodeActivation(InputNode.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(int, boolean) - Method in class network.aika.neuron.activation.Activation.Rounds

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

setSkipSelectStep(SearchNode.SkipSelectStep) - Method in class network.aika.Model

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

setSynapseExtensionFactory(Model.WritableFactory) - 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

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

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

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

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

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.OrNode.Link

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

skipSelectStep - Variable in class network.aika.Model

slotHasInputs - Variable in class network.aika.neuron.INeuron

slotRequired - Variable in class network.aika.neuron.INeuron

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

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

snId - Variable in class network.aika.neuron.activation.Activation.Option

state - Variable in class network.aika.neuron.activation.Activation.Option

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

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

store(int, byte[]) - Method in interface network.aika.SuspensionHook

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.State - Enum in network.aika.neuron

synapseId - Variable in class network.aika.neuron.Synapse.Builder

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

T

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

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

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

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

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

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

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

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

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

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

test(Activation, Activation) - 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.SearchNode.TimeoutException

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.InputNode.InputActivation

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

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

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

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

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

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

toString() - Method in class network.aika.neuron.activation.Candidate

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

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

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

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

U

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

UNKNOWN - network.aika.neuron.activation.SearchNode.Decision

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

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

update(Document, double, double, double) - Method in class network.aika.neuron.Synapse

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

updateDelta(Document, double, double, double) - Method in class network.aika.neuron.Synapse

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

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

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

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.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.DistanceFunction

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.Linker.Direction

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum network.aika.neuron.activation.SearchNode.DebugState

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum network.aika.neuron.activation.SearchNode.Decision

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.DistanceFunction

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.Linker.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.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.activation.SearchNode.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.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.Activation.Option

weight - Variable in class network.aika.neuron.activation.Activation.State

weight - Variable in class network.aika.neuron.Synapse.Builder

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

Writable - Interface in network.aika

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.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.

Z

ZERO - Static variable in class network.aika.neuron.activation.Activation.State

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