Index (aika 1.4.12 API)

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

dataSupplier - Variable in class network.aika.Model
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
getCustomData() - Method in class network.aika.neuron.INeuron
getCustomDataInstanceSupplier() - Method in class network.aika.Model
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
setCustomData(Writable) - Method in class network.aika.neuron.INeuron
setCustomDataInstanceSupplier(Supplier<Writable>) - Method in class network.aika.Model
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

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