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

A

absoluteRid - Variable in class org.aika.neuron.Synapse.Builder

absoluteRid - Variable in class org.aika.neuron.Synapse.Key

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

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

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

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

act - Variable in class org.aika.corpus.Conflicts.Conflict

act - Variable in class org.aika.corpus.Conflicts.Key

activatedNeurons - Variable in class org.aika.corpus.Document

activation - Variable in class org.aika.corpus.InterpretationNode

Activation - Class in org.aika.neuron

The Activation class is the most central class in Aika.

Activation(int, Document, NodeActivation.Key) - Constructor for class org.aika.neuron.Activation

Activation.Builder - Class in org.aika.neuron

Activation.Mode - Enum in org.aika.neuron

Activation.Rounds - Class in org.aika.neuron

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

Activation.State - Class in org.aika.neuron

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

Activation.StateChange - Class in org.aika.neuron

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

Activation.SynapseActivation - Class in org.aika.neuron

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

ActivationFunction - Interface in org.aika

activationFunction - Variable in class org.aika.neuron.INeuron

activationFunctionKey - Variable in class org.aika.neuron.INeuron

activationFunctions - Variable in class org.aika.Model

activationIdCounter - Variable in class org.aika.corpus.Document

activations - Variable in class org.aika.corpus.InterpretationNode

activations - Variable in class org.aika.neuron.INeuron.ThreadState

ACTIVATIONS_OUTPUT_COMPARATOR - Static variable in class org.aika.corpus.Document

activationsByRid - Variable in class org.aika.corpus.Document

activationsEnd - Variable in class org.aika.neuron.INeuron.ThreadState

activationsRid - Variable in class org.aika.neuron.INeuron.ThreadState

activeProviders - Variable in class org.aika.Model

add(NodeActivation, InterpretationNode, InterpretationNode) - Static method in class org.aika.corpus.Conflicts

add(Node) - Method in class org.aika.corpus.Document.Queue

add(Activation) - Method in class org.aika.corpus.Document.UpperBoundQueue

add(int, Activation) - Method in class org.aika.corpus.Document.ValueQueue

add(Document, boolean, InterpretationNode...) - Static method in class org.aika.corpus.InterpretationNode

add(Document, boolean, List<InterpretationNode>) - Static method in class org.aika.corpus.InterpretationNode

add(Model, Synapse.Key, INeuron) - Static method in class org.aika.lattice.InputNode

add(INeuron.NormWeight) - Method in class org.aika.neuron.INeuron.NormWeight

add(Activation) - Method in class org.aika.training.SupervisedTraining.BackPropagationQueue

addActivation(Document, NodeActivation) - Method in class org.aika.lattice.InputNode

addActivation(Document, Integer, NodeActivation) - Method in class org.aika.lattice.OrNode

addActivationAndPropagate(Document, NodeActivation.Key<T>, Collection<NodeActivation<?>>) - Static method in class org.aika.lattice.Node

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

added - Variable in class org.aika.lattice.Node.ThreadState

addedNodes - Variable in class org.aika.corpus.Document

addInMemoryInputSynapse(Synapse) - Method in class org.aika.Neuron

addInMemoryOutputSynapse(Synapse) - Method in class org.aika.Neuron

addInput(Integer, int, Node, boolean) - Method in class org.aika.lattice.OrNode

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

Propagate an input activation into the network.

addInput(Document, int, int, Integer) - Method in class org.aika.Neuron

Propagate an input activation into the network.

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

Propagate an input activation into the network.

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

Propagate an input activation into the network.

addNextLevelActivation(Document, NodeActivation<AndNode>, NodeActivation<AndNode>, Provider<AndNode>) - Static method in class org.aika.lattice.AndNode

addOrInterpretationNode(InterpretationNode) - Method in class org.aika.corpus.InterpretationNode

addPrimitive(Document) - Static method in class org.aika.corpus.InterpretationNode

addSynapse(Synapse.Builder) - Method in class org.aika.Neuron

addSynapseActivation(int, Activation.SynapseActivation) - Method in class org.aika.neuron.Activation

addToArray(T[], T) - Static method in class org.aika.Utils

adjustWeight(SearchNode, Collection<InterpretationNode>, long) - Method in class org.aika.corpus.Document.ValueQueue

allOrChildren - Variable in class org.aika.lattice.Node

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

allParents - Variable in class org.aika.lattice.OrNode

andChildren - Variable in class org.aika.lattice.Node

AndNode - Class in org.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 org.aika.lattice.AndNode

AndNode(Model, int, SortedMap<AndNode.Refinement, Provider<? extends Node>>) - Constructor for class org.aika.lattice.AndNode

AndNode.Refinement - Class in org.aika.lattice

andNodeCheck - Variable in class org.aika.Model

apply(Document, Activation) - Method in class org.aika.lattice.OrNode

APPLY_DEBUG_OUTPUT - Static variable in class org.aika.corpus.Document

B

BackPropagationQueue() - Constructor for class org.aika.training.SupervisedTraining.BackPropagationQueue

backpropagtion() - Method in class org.aika.training.SupervisedTraining.BackPropagationQueue

begin - Variable in class org.aika.corpus.Range

BEGIN - Static variable in class org.aika.corpus.Range.Output

begin - Variable in class org.aika.corpus.Range.Output

BEGIN_COMP - Static variable in class org.aika.lattice.Node

BEGIN_EQUALS - Static variable in class org.aika.corpus.Range.Relation

BEGIN_TO_END_EQUALS - Static variable in class org.aika.corpus.Range.Relation

beginToBegin - Variable in class org.aika.corpus.Range.Relation

beginToEnd - Variable in class org.aika.corpus.Range.Relation

bestInterpretation - Variable in class org.aika.corpus.Document

bestInterpretationToString() - Method in class org.aika.corpus.Document

beta - Variable in class org.aika.training.LongTermLearning.Config

bias - Variable in class org.aika.neuron.INeuron

bias - Variable in class org.aika.neuron.Synapse

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

biasDelta - Variable in class org.aika.neuron.INeuron

biasDelta - Variable in class org.aika.neuron.Synapse

biasSum - Variable in class org.aika.neuron.INeuron

biasSumDelta - Variable in class org.aika.neuron.INeuron

bottom - Variable in class org.aika.corpus.Document

Builder() - Constructor for class org.aika.neuron.Activation.Builder

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

Builder() - Constructor for class org.aika.training.MetaSynapse.Builder

C

cachedDecision - Variable in class org.aika.corpus.Candidate

cachedSearchNode - Variable in class org.aika.corpus.Candidate

cachedSNDecision - Variable in class org.aika.corpus.Candidate

Candidate - Class in org.aika.corpus

Candidate(InterpretationNode, int) - Constructor for class org.aika.corpus.Candidate

candidate - Variable in class org.aika.corpus.InterpretationNode

candidates - Variable in class org.aika.corpus.Document

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

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

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

changeState(Activation.Mode) - Method in class org.aika.corpus.SearchNode

checkDependenciesSatisfied(long) - Method in class org.aika.corpus.Candidate

checkExpandable - Variable in class org.aika.training.PatternDiscovery.Config

checkIfCombinatorialExpensive(AndNode) - Method in interface org.aika.Model.AndNodeCheck

checkValidPattern - Variable in class org.aika.training.PatternDiscovery.Config

children - Variable in class org.aika.corpus.InterpretationNode

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

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

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

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

CLEANUP_INTERVAL - Static variable in class org.aika.corpus.Document

clearActivations() - Method in class org.aika.corpus.Document

Removes the activations of this document from the model again.

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

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

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

collectConflicting(Collection<InterpretationNode>, InterpretationNode, long) - Static method in class org.aika.corpus.Conflicts

collectPrimitiveNodes(Collection<InterpretationNode>, long) - Method in class org.aika.corpus.InterpretationNode

collectResults(Collection<InterpretationNode>) - Method in class org.aika.corpus.SearchNode

combinatorialExpensive - Variable in class org.aika.lattice.AndNode

commit() - Method in class org.aika.corpus.Document

Updates the model after the training step.

compare(InterpretationNode, InterpretationNode) - Static method in class org.aika.corpus.InterpretationNode

compare(InterpretationNode, InterpretationNode) - Method in enum org.aika.corpus.InterpretationNode.Relation

compare(Range, Range, boolean) - Static method in class org.aika.corpus.Range

compare(Range, Range) - Static method in class org.aika.corpus.Range

compare(int, int) - Method in enum org.aika.corpus.Range.Operator

compare(Range, Range) - Method in class org.aika.corpus.Range.Relation

compare(NodeActivation, NodeActivation) - Static method in class org.aika.lattice.NodeActivation

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

compareInteger(Integer, Integer) - Static method in class org.aika.Utils

compareNewState(SearchNode) - Method in class org.aika.corpus.SearchNode

compareNullSafe(Integer, Integer) - Static method in class org.aika.Utils

compareTo(Candidate) - Method in class org.aika.corpus.Candidate

compareTo(Conflicts.Key) - Method in class org.aika.corpus.Conflicts.Key

compareTo(Document) - Method in class org.aika.corpus.Document

compareTo(InterpretationNode) - Method in class org.aika.corpus.InterpretationNode

compareTo(Range.Output) - Method in class org.aika.corpus.Range.Output

compareTo(Range.Relation) - Method in class org.aika.corpus.Range.Relation

compareTo(SearchNode) - Method in class org.aika.corpus.SearchNode

compareTo(AndNode.Refinement) - Method in class org.aika.lattice.AndNode.Refinement

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

compareTo(NodeActivation) - Method in class org.aika.lattice.NodeActivation

compareTo(NodeActivation.Key) - Method in class org.aika.lattice.NodeActivation.Key

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

compareTo(Synapse.Builder) - Method in class org.aika.neuron.Synapse.Builder

compareTo(Synapse.Key) - Method in class org.aika.neuron.Synapse.Key

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

computeBackpropagationErrorSignal(Activation) - Method in class org.aika.training.SupervisedTraining

computeBounds(Activation) - Method in class org.aika.neuron.INeuron

computeNextLevelParents(Model, int, Node, AndNode.Refinement, PatternDiscovery.Config) - Static method in class org.aika.lattice.AndNode

computeOutputErrorSignal(Activation) - Method in class org.aika.training.SupervisedTraining

computeParents - Variable in class org.aika.lattice.Node.RidVisited

computeSynapseWeightSum(Integer, INeuron) - Method in class org.aika.lattice.AndNode

computeSynapseWeightSum(Integer, INeuron) - Method in class org.aika.lattice.InputNode

computeSynapseWeightSum(Integer, INeuron) - Method in class org.aika.lattice.Node

computeSynapseWeightSum(Integer, INeuron) - Method in class org.aika.lattice.OrNode

computeWeight(int, Activation) - Method in class org.aika.neuron.INeuron

Config() - Constructor for class org.aika.training.InterprSupprTraining.Config

Config() - Constructor for class org.aika.training.LongTermLearning.Config

Config() - Constructor for class org.aika.training.PatternDiscovery.Config

Config() - Constructor for class org.aika.training.SupervisedTraining.Config

Conflict(NodeActivation, InterpretationNode, InterpretationNode, InterpretationNode) - Constructor for class org.aika.corpus.Conflicts.Conflict

conflict - Variable in class org.aika.corpus.Conflicts.Conflict

Conflicts - Class in org.aika.corpus

The class Conflicts handles between different interpretation options for a given text.

Conflicts() - Constructor for class org.aika.corpus.Conflicts

conflicts - Variable in class org.aika.corpus.InterpretationNode

Conflicts.Conflict - Class in org.aika.corpus

Conflicts.Key - Class in org.aika.corpus

CONTAINED_IN - Static variable in class org.aika.corpus.Range.Relation

contains(boolean, InterpretationNode, boolean) - Method in class org.aika.corpus.InterpretationNode

contains(InterpretationNode, boolean) - Method in class org.aika.corpus.InterpretationNode

contains(Range) - Method in class org.aika.corpus.Range

CONTAINS - Static variable in class org.aika.corpus.Range.Relation

contains(T[], T, Comparator<T>) - Static method in class org.aika.Utils

convert(Model, int, INeuron, Collection<Synapse>) - Static method in class org.aika.Converter

Converter - Class in org.aika

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

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

count(NodeActivation) - Method in interface org.aika.training.PatternDiscovery.Counter

Updates the statistics of this node

counter - Variable in class org.aika.training.PatternDiscovery.Config

create(Range.Mapping, Range.Mapping) - Static method in class org.aika.corpus.Range.Output

create(Range.Operator, Range.Operator, Range.Operator, Range.Operator) - Static method in class org.aika.corpus.Range.Relation

create(Range.Operator, Range.Operator) - Static method in class org.aika.corpus.Range.Relation

create(double, double) - Static method in class org.aika.neuron.INeuron.NormWeight

createActivation(Document, NodeActivation.Key) - Method in class org.aika.lattice.AndNode

createActivation(Document, NodeActivation.Key) - Method in class org.aika.lattice.InputNode

createActivation(Document, NodeActivation.Key) - Method in class org.aika.lattice.OrNode

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

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

createInputNodeKey() - Method in class org.aika.neuron.Synapse.Key

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

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

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

createNextLevelNode(Model, int, Node, AndNode.Refinement, PatternDiscovery.Config) - Static method in class org.aika.lattice.AndNode

createOrLookup(Synapse.Key, Neuron, Neuron) - Static method in class org.aika.neuron.Synapse

createQuery(Range.Relation, Range.Output, Range.Output, Range.Relation) - Static method in class org.aika.corpus.Range.Relation

createStatisticObject() - Method in interface org.aika.Model.StatisticFactory

currentId - Variable in class org.aika.Model

currentStateChange - Variable in class org.aika.neuron.Activation

currentStateV - Variable in class org.aika.neuron.Activation

D

defaultThreadId - Variable in class org.aika.Model

deleteIfNull - Variable in class org.aika.training.SynapseEvaluation.Result

DIR - Static variable in class org.aika.neuron.Activation.State

DIRECT - Static variable in class org.aika.Converter

DIRECT - Static variable in class org.aika.corpus.Range.Output

discover(Document, NodeActivation<AndNode>, PatternDiscovery.Config) - Method in class org.aika.lattice.AndNode

discover(Document, NodeActivation<InputNode>, PatternDiscovery.Config) - Method in class org.aika.lattice.InputNode

discover(Document, NodeActivation<T>, PatternDiscovery.Config) - Method in class org.aika.lattice.Node

discover(Document, NodeActivation, PatternDiscovery.Config) - Method in class org.aika.lattice.OrNode

discover(Document, PatternDiscovery.Config) - Static method in class org.aika.training.PatternDiscovery

doc - Variable in class org.aika.corpus.InterpretationNode

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

doc - Variable in class org.aika.training.SupervisedTraining

docIdCounter - Variable in class org.aika.Model

docs - Variable in class org.aika.Model

Document - Class in org.aika.corpus

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 org.aika.corpus.Document

Document.Queue - Class in org.aika.corpus

Document.UpperBoundQueue - Class in org.aika.corpus

Document.ValueQueue - Class in org.aika.corpus

dumpDebugCandidateStatistics() - Method in class org.aika.corpus.Document

dumpDebugState() - Method in class org.aika.corpus.SearchNode

E

end - Variable in class org.aika.corpus.Range

END - Static variable in class org.aika.corpus.Range.Output

end - Variable in class org.aika.corpus.Range.Output

END_COMP - Static variable in class org.aika.lattice.Node

END_EQUALS - Static variable in class org.aika.corpus.Range.Relation

END_TO_BEGIN_EQUALS - Static variable in class org.aika.corpus.Range.Relation

endToBegin - Variable in class org.aika.corpus.Range.Relation

endToEnd - Variable in class org.aika.corpus.Range.Relation

equals(Range) - Method in class org.aika.corpus.Range

EQUALS - Static variable in class org.aika.corpus.Range.Relation

equals(Activation.State) - Method in class org.aika.neuron.Activation.State

equals(INeuron.NormWeight) - Method in class org.aika.neuron.INeuron.NormWeight

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

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

errorSignal - Variable in class org.aika.neuron.Activation

errorSignalActivations - Variable in class org.aika.training.SupervisedTraining

evaluate(NodeActivation) - Method in interface org.aika.training.PatternDiscovery.ActivationEvaluation

Check if node is an interesting pattern that might be considered for further processing.

evaluate(Node) - Method in interface org.aika.training.PatternDiscovery.PatternEvaluation

Check if node is an interesting pattern that might be considered for further processing.

evaluate(Synapse, Activation, Activation) - Method in interface org.aika.training.SynapseEvaluation

Determines whether a synapse should be created between two neurons during training.

excludedParent - Variable in class org.aika.corpus.SearchNode

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

F

f(double) - Method in interface org.aika.ActivationFunction

filter(T, Integer, Range, Range.Relation, InterpretationNode, InterpretationNode.Relation) - Method in class org.aika.neuron.Activation

finallyActivatedNeurons - Variable in class org.aika.corpus.Document

fired - Variable in class org.aika.neuron.Activation.Builder

fired - Variable in class org.aika.neuron.Activation.State

frequency - Variable in class org.aika.training.NeuronStatistic

G

generateCandidates() - Method in class org.aika.corpus.Document

generateOutputText() - Method in class org.aika.corpus.Document

get(Document, INeuron, Integer, Range, Range.Relation, InterpretationNode, InterpretationNode.Relation) - Static method in class org.aika.neuron.Activation

get(Document, INeuron, NodeActivation.Key) - Static method in class org.aika.neuron.Activation

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

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

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

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

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

getActivations() - Method in class org.aika.corpus.InterpretationNode

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

getActivationsByRange(INeuron.ThreadState, INeuron, Integer, Range, Range.Relation, InterpretationNode, InterpretationNode.Relation) - Static method in class org.aika.neuron.Activation

getAllActivations(Document) - Method in class org.aika.neuron.INeuron

getAllNodeActivations() - Method in class org.aika.corpus.Document

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

getAndNodeCheck() - Method in class org.aika.Model

getBegin(boolean) - Method in class org.aika.corpus.Range

getById(int) - Static method in enum org.aika.corpus.Range.Mapping

getById(int) - Static method in enum org.aika.corpus.Range.Operator

getContent() - Method in class org.aika.corpus.Document

getEnd(boolean) - Method in class org.aika.corpus.Range

getFinalActivations() - Method in class org.aika.corpus.Document

getFinalActivations(Document) - Method in class org.aika.Neuron

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

getFinalActivations(Document) - Method in class org.aika.neuron.INeuron

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

getFinalInputActivations() - Method in class org.aika.neuron.Activation

getFinalOutputActivations() - Method in class org.aika.neuron.Activation

getFinalState() - Method in class org.aika.neuron.Activation

getFirstActivation(Document) - Method in class org.aika.neuron.INeuron

getId() - Method in enum org.aika.corpus.Range.Mapping

getId() - Method in enum org.aika.corpus.Range.Operator

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

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

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

getNeuronActivations() - Method in class org.aika.corpus.InterpretationNode

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

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

getNeuronStatisticFactory() - Method in class org.aika.Model

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

getNodeStatisticFactory() - Method in class org.aika.Model

getNormWeight() - Method in class org.aika.neuron.INeuron.NormWeight

getOffset() - Method in class org.aika.lattice.AndNode.Refinement

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

getOutputRange(Range, boolean[]) - Static method in class org.aika.corpus.Range

getParent() - Method in class org.aika.corpus.SearchNode

getRelativePosition() - Method in class org.aika.lattice.AndNode.Refinement

getSequence() - Method in class org.aika.neuron.Activation

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

getSynapse(Integer, Neuron) - Method in class org.aika.lattice.AndNode.Refinement

getSynapse(Integer, Neuron) - Method in class org.aika.lattice.InputNode

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

getSynapse(Neuron) - Method in class org.aika.training.MetaSynapse.Builder

getText(Range) - Method in class org.aika.corpus.Document

getThreadState(int, boolean) - Method in class org.aika.lattice.Node

getThreadState(int, boolean) - Method in class org.aika.neuron.INeuron

H

hasConflicts() - Method in class org.aika.corpus.Conflicts

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

I

id - Variable in class org.aika.corpus.Document

id - Variable in class org.aika.corpus.InterpretationNode

id - Variable in class org.aika.corpus.SearchNode

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

id - Variable in class org.aika.Provider

INeuron - Class in org.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) - Constructor for class org.aika.neuron.INeuron

INeuron(Model, String) - Constructor for class org.aika.neuron.INeuron

INeuron(Model, String, String) - Constructor for class org.aika.neuron.INeuron

INeuron.NormWeight - Class in org.aika.neuron

INeuron.ThreadState - Class in org.aika.neuron

The ThreadState is a thread local data structure containing the activations of a single document for a specific logic node.

INeuron.Type - Enum in org.aika.neuron

init(Neuron, double, INeuron.Type, Synapse.Builder...) - Static method in class org.aika.Neuron

Creates a neuron with the given bias.

init(Neuron, double, String, INeuron.Type, Synapse.Builder...) - Static method in class org.aika.Neuron

Creates a neuron with the given bias.

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

Creates a neuron with the given bias.

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

Initializes a neuron with the given bias.

init(double, String, INeuron.Type, Collection<Synapse.Builder>) - Method in class org.aika.Neuron

Initializes a neuron with the given bias.

initMetaNeuron(Model, Neuron, double, double, Synapse.Builder...) - Static method in class org.aika.training.MetaNetwork

inMemoryInputSynapses - Variable in class org.aika.Neuron

inMemoryOutputSynapses - Variable in class org.aika.Neuron

input - Variable in class org.aika.lattice.AndNode.Refinement

input - Variable in class org.aika.neuron.Activation.SynapseActivation

input - Variable in class org.aika.neuron.Synapse

INPUT_COMP - Static variable in class org.aika.neuron.Activation.SynapseActivation

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

inputNeuron - Variable in class org.aika.lattice.InputNode

inputNeuronActivations - Variable in class org.aika.corpus.Document

InputNode - Class in org.aika.lattice

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

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

InputNode(Model, Synapse.Key) - Constructor for class org.aika.lattice.InputNode

inputNode - Variable in class org.aika.neuron.Synapse

inputs - Variable in class org.aika.lattice.NodeActivation

inputSynapses - Variable in class org.aika.neuron.INeuron

inputValue - Variable in class org.aika.neuron.Activation

interpretation - Variable in class org.aika.lattice.NodeActivation.Key

interpretation - Variable in class org.aika.neuron.Activation.Builder

interpretationIdCounter - Variable in class org.aika.corpus.Document

InterpretationNode - Class in org.aika.corpus

The InterpretationNode class represents a node within the interpretations lattice.

InterpretationNode(Document, int, int, int) - Constructor for class org.aika.corpus.InterpretationNode

InterpretationNode(Document, int, int) - Constructor for class org.aika.corpus.InterpretationNode

InterpretationNode.Relation - Enum in org.aika.corpus

InterpretationNode.State - Enum in org.aika.corpus

InterprSupprTraining - Class in org.aika.training

This learning method treats suppressed interpretations as negative training examples.

InterprSupprTraining() - Constructor for class org.aika.training.InterprSupprTraining

InterprSupprTraining.Config - Class in org.aika.training

invert(boolean) - Method in class org.aika.corpus.Range

invert() - Method in enum org.aika.corpus.Range.Operator

invert() - Method in class org.aika.corpus.Range.Output

invert() - Method in class org.aika.corpus.Range.Relation

isAllowedOption(int, InterpretationNode, NodeActivation<?>, long) - Method in class org.aika.lattice.AndNode

isAllowedOption(int, InterpretationNode, NodeActivation, long) - Method in class org.aika.lattice.InputNode

isAllowedOption(int, InterpretationNode, NodeActivation<?>, long) - Method in class org.aika.lattice.Node

isAllowedOption(int, InterpretationNode, NodeActivation, long) - Method in class org.aika.lattice.OrNode

isBottom() - Method in class org.aika.corpus.InterpretationNode

isConflict - Variable in class org.aika.corpus.InterpretationNode

isConflicting() - Method in class org.aika.corpus.Candidate

isConflicting(long) - Method in class org.aika.corpus.InterpretationNode

isConjunction - Variable in class org.aika.neuron.Synapse

The synapse is stored either in the input neuron or the output neuron depending on whether it is a conjunctive or disjunctive synapse.

isConjunction(boolean) - Method in class org.aika.neuron.Synapse

isDiscovered - Variable in class org.aika.lattice.Node

isEmpty() - Method in class org.aika.corpus.Range

isFinalActivation() - Method in class org.aika.neuron.Activation

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

isPrimitive() - Method in class org.aika.corpus.InterpretationNode

isQueued - Variable in class org.aika.lattice.Node.ThreadState

isQueued - Variable in class org.aika.neuron.Activation

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

isRecurrent - Variable in class org.aika.neuron.Synapse.Key

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

isSelected - Variable in class org.aika.corpus.InterpretationNode

isSelected(long) - Method in class org.aika.corpus.InterpretationNode

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

K

Key(InterpretationNode, NodeActivation) - Constructor for class org.aika.corpus.Conflicts.Key

key - Variable in class org.aika.lattice.InputNode

key - Variable in class org.aika.lattice.NodeActivation

Key(T, Range, Integer, InterpretationNode) - Constructor for class org.aika.lattice.NodeActivation.Key

key - Variable in class org.aika.neuron.Synapse

Key() - Constructor for class org.aika.neuron.Synapse.Key

Key(boolean, Integer, Integer, Range.Relation, Range.Output) - Constructor for class org.aika.neuron.Synapse.Key

L

label - Variable in class org.aika.neuron.INeuron

largestCommonSubset - Variable in class org.aika.corpus.InterpretationNode

lastCleanup - Variable in class org.aika.Model

lastUsed - Variable in class org.aika.lattice.Node.ThreadState

lastUsed - Variable in class org.aika.neuron.INeuron.ThreadState

lastUsedDocumentId - Variable in class org.aika.AbstractNode

learnRate - Variable in class org.aika.training.InterprSupprTraining.Config

learnRate - Variable in class org.aika.training.SupervisedTraining.Config

length() - Method in class org.aika.corpus.Document

length - Variable in class org.aika.corpus.InterpretationNode

length() - Method in class org.aika.corpus.Range

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

link(Collection<NodeActivation>) - Method in class org.aika.lattice.NodeActivation

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

linkedByLCS - Variable in class org.aika.corpus.InterpretationNode

linkNeuronRelations(Document, Activation) - Method in class org.aika.neuron.INeuron

Sets the incoming and outgoing links between neuron activations.

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

lock - Variable in class org.aika.neuron.INeuron

lock - Variable in class org.aika.Neuron

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

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

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

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

longTermDepression(Document, LongTermLearning.Config, Activation, boolean) - Static method in class org.aika.training.LongTermLearning

The long-term depression algorithm decreases the strength of a synapse if only one side of the synapse is firing.

LongTermLearning - Class in org.aika.training

Implements the biologically inspired learning algorithms for long-term potentiation and long-term depression.

LongTermLearning() - Constructor for class org.aika.training.LongTermLearning

LongTermLearning.Config - Class in org.aika.training

longTermPotentiation(Document, LongTermLearning.Config, Activation) - Static method in class org.aika.training.LongTermLearning

The long-term potentiation algorithm is a variant of the Hebb learning rule.

lookup(Range.Output) - Static method in class org.aika.corpus.Range.Output

lookup(Range.Relation) - Static method in class org.aika.corpus.Range.Relation

lookupKey(Synapse.Key) - Static method in class org.aika.neuron.Synapse

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

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

lookupOrOption(Document, Range, boolean) - Method in class org.aika.lattice.OrNode

lookupVisited(Integer) - Method in class org.aika.lattice.Node.ThreadState

lowerBound - Variable in class org.aika.neuron.Activation

ltdLearnRate - Variable in class org.aika.training.LongTermLearning.Config

ltpLearnRate - Variable in class org.aika.training.LongTermLearning.Config

M

map(Range) - Method in enum org.aika.corpus.Range.Mapping

map(Range) - Method in class org.aika.corpus.Range.Output

markedConflict - Variable in class org.aika.corpus.InterpretationNode

MAX - Static variable in class org.aika.corpus.InterpretationNode

MAX - Static variable in class org.aika.corpus.Range

MAX - Static variable in class org.aika.lattice.AndNode.Refinement

MAX_AND_NODE_SIZE - Static variable in class org.aika.Converter

MAX_KEY - Static variable in class org.aika.neuron.Synapse.Key

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

MAX_RELATIVE_RID - Static variable in class org.aika.lattice.Node

MAX_ROUND - Static variable in class org.aika.corpus.Document

MAX_SEARCH_STEPS - Static variable in class org.aika.corpus.SearchNode

MAX_SELF_REFERENCING_DEPTH - Static variable in class org.aika.neuron.INeuron

maxActValue - Variable in class org.aika.neuron.Activation

maxPrim - Variable in class org.aika.corpus.InterpretationNode

maxRecurrentSum - Variable in class org.aika.neuron.INeuron

mergeRange(Range, Range) - Static method in class org.aika.corpus.Range

meta - Variable in class org.aika.neuron.Synapse

metaBias - Variable in class org.aika.neuron.INeuron

metaBias - Variable in class org.aika.training.MetaSynapse.Builder

metaBias - Variable in class org.aika.training.MetaSynapse

MetaNetwork - Class in org.aika.training

Meta-neurons and meta-synapses allow to generate new fully trained neurons based on a single training data set.

MetaNetwork() - Constructor for class org.aika.training.MetaNetwork

metaRelativeRid - Variable in class org.aika.training.MetaSynapse.Builder

metaRelativeRid - Variable in class org.aika.training.MetaSynapse

MetaSynapse - Class in org.aika.training

MetaSynapse() - Constructor for class org.aika.training.MetaSynapse

MetaSynapse.Builder - Class in org.aika.training

metaWeight - Variable in class org.aika.training.MetaSynapse.Builder

metaWeight - Variable in class org.aika.training.MetaSynapse

MIN - Static variable in class org.aika.corpus.InterpretationNode

MIN - Static variable in class org.aika.corpus.Range

MIN - Static variable in class org.aika.lattice.AndNode.Refinement

MIN_KEY - Static variable in class org.aika.neuron.Synapse.Key

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

minPrim - Variable in class org.aika.corpus.InterpretationNode

model - Variable in class org.aika.corpus.Document

Model - Class in org.aika

The model consists of two layers.

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

Creates a model with a single thread.

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

model - Variable in class org.aika.Provider

Model.AndNodeCheck - Interface in org.aika

Model.StatisticFactory - Interface in org.aika

modified - Variable in class org.aika.neuron.Activation.Rounds

modifiedActs - Variable in class org.aika.corpus.SearchNode

modifiedWeights - Variable in class org.aika.corpus.Document

N

n - Variable in class org.aika.neuron.INeuron.NormWeight

NEGATIVE - Static variable in class org.aika.Converter

negDirSum - Variable in class org.aika.neuron.INeuron

negRecSum - Variable in class org.aika.neuron.INeuron

neuron - Variable in class org.aika.lattice.OrNode

Neuron - Class in org.aika

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

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

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

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

neuronActivations - Variable in class org.aika.corpus.InterpretationNode

neuronActivationsToString(boolean) - Method in class org.aika.corpus.Document

neuronActivationsToString(boolean, boolean, boolean) - Method in class org.aika.corpus.Document

neuronActivationsToString(SearchNode, boolean, boolean, boolean) - Method in class org.aika.corpus.Document

neuronInputs - Variable in class org.aika.neuron.Activation

neuronOutputs - Variable in class org.aika.neuron.Activation

NeuronStatistic - Class in org.aika.training

NeuronStatistic(int) - Constructor for class org.aika.training.NeuronStatistic

neuronStatisticFactory - Variable in class org.aika.Model

newRounds - Variable in class org.aika.neuron.Activation.StateChange

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

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

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

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

node - Variable in class org.aika.lattice.NodeActivation.Key

node - Variable in class org.aika.neuron.INeuron

Node.RidVisited - Class in org.aika.lattice

Aika extensively uses graph coloring techniques.

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

The ThreadState is a thread local data structure containing the activations of a single document for a specific logic node.

Node.ThreadState.RidOutOfRange - Exception in org.aika.lattice

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

NodeActivation(int, Document, NodeActivation.Key<T>) - Constructor for class org.aika.lattice.NodeActivation

NodeActivation(int, Document, T, Range, Integer, InterpretationNode) - Constructor for class org.aika.lattice.NodeActivation

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

nodeStatisticFactory - Variable in class org.aika.Model

nOffset - Variable in class org.aika.training.NeuronStatistic

NONE - Static variable in class org.aika.corpus.Range.Output

NONE - Static variable in class org.aika.corpus.Range.Relation

notifyWeightsModified(INeuron, Collection<Synapse>) - Method in class org.aika.corpus.Document

nullSafeAdd(Integer, boolean, Integer, boolean) - Static method in class org.aika.Utils

nullSafeMax(Integer, Integer) - Static method in class org.aika.Utils

nullSafeMin(Integer, Integer) - Static method in class org.aika.Utils

nullSafeSub(Integer, boolean, Integer, boolean) - Static method in class org.aika.Utils

numberOfNeuronRefs - Variable in class org.aika.lattice.Node

numberOfThreads - Variable in class org.aika.Model

numCombExpParents - Variable in class org.aika.lattice.AndNode

O

o - Variable in class org.aika.corpus.Conflicts.Key

oldRounds - Variable in class org.aika.neuron.Activation.StateChange

OPTIMIZE_DEBUG_OUTPUT - Static variable in class org.aika.corpus.Document

orChildren - Variable in class org.aika.lattice.Node

org.aika - package org.aika

org.aika.corpus - package org.aika.corpus

org.aika.lattice - package org.aika.lattice

org.aika.neuron - package org.aika.neuron

org.aika.training - package org.aika.training

orInterpretationNodes - Variable in class org.aika.corpus.InterpretationNode

OrNode - Class in org.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 org.aika.lattice.OrNode

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

output - Variable in class org.aika.neuron.Activation.SynapseActivation

output - Variable in class org.aika.neuron.Synapse

OUTPUT_COMP - Static variable in class org.aika.neuron.Activation.SynapseActivation

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

outputNodes - Variable in class org.aika.neuron.INeuron

outputs - Variable in class org.aika.lattice.NodeActivation

outputSynapses - Variable in class org.aika.neuron.INeuron

outputText - Variable in class org.aika.neuron.INeuron

overlaps(Range, Range) - Static method in class org.aika.corpus.Range

Deprecated.

OVERLAPS - Static variable in class org.aika.corpus.Range.Relation

P

parents - Variable in class org.aika.corpus.InterpretationNode

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

parents - Variable in class org.aika.lattice.OrNode

pathToString(Document) - Method in class org.aika.corpus.SearchNode

PatternDiscovery - Class in org.aika.training

PatternDiscovery() - Constructor for class org.aika.training.PatternDiscovery

PatternDiscovery.ActivationEvaluation - Interface in org.aika.training

PatternDiscovery.Config - Class in org.aika.training

PatternDiscovery.Counter - Interface in org.aika.training

PatternDiscovery.PatternEvaluation - Interface in org.aika.training

performBackpropagation - Variable in class org.aika.training.SupervisedTraining.Config

posDirSum - Variable in class org.aika.neuron.INeuron

POSITIVE - Static variable in class org.aika.Converter

posRecSum - Variable in class org.aika.neuron.INeuron

prepareInputActs(NodeActivation<?>, NodeActivation<?>) - Static method in class org.aika.lattice.AndNode

primary - Variable in class org.aika.corpus.Conflicts.Conflict

primary - Variable in class org.aika.corpus.Conflicts

primId - Variable in class org.aika.corpus.InterpretationNode

process() - Method in class org.aika.corpus.Document

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

process() - Method in class org.aika.corpus.Document.UpperBoundQueue

processCandidate(Document, Node<?, ? extends NodeActivation<?>>, NodeActivation, boolean) - Static method in class org.aika.lattice.OrNode

processChanges() - Method in class org.aika.corpus.Document.Queue

processChanges(SearchNode, long, long) - Method in class org.aika.corpus.Document.ValueQueue

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

Process all added or removed activation for this logic node.

propagate() - Method in class org.aika.corpus.Document

propagateAddedActivation(Document, NodeActivation) - Method in class org.aika.lattice.AndNode

propagateAddedActivation(Document, NodeActivation) - Method in class org.aika.lattice.InputNode

propagateAddedActivation(Document, A) - Method in class org.aika.lattice.Node

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

propagateAddedActivation(Document, Activation) - Method in class org.aika.lattice.OrNode

propagateAddedActivation(Document, Activation) - Method in class org.aika.neuron.INeuron

propagateWeight(int, Activation) - Method in class org.aika.corpus.Document.ValueQueue

provider - Variable in class org.aika.AbstractNode

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

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

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

Provider.SuspensionMode - Enum in org.aika

providers - Variable in class org.aika.Model

Q

queue - Variable in class org.aika.corpus.Document

Queue() - Constructor for class org.aika.corpus.Document.Queue

queue - Variable in class org.aika.corpus.Document.Queue

queue - Variable in class org.aika.corpus.Document.UpperBoundQueue

queue - Variable in class org.aika.corpus.Document.ValueQueue

queue - Variable in class org.aika.training.SupervisedTraining.BackPropagationQueue

queue - Variable in class org.aika.training.SupervisedTraining

queueId - Variable in class org.aika.lattice.Node.ThreadState

queueId - Variable in class org.aika.neuron.Activation

R

Range - Class in org.aika.corpus

The class Range specifies a text range (begin char pos, end char pos) within a given document.

Range(Integer, Integer) - Constructor for class org.aika.corpus.Range

range - Variable in class org.aika.lattice.NodeActivation.Key

range - Variable in class org.aika.neuron.Activation.Builder

Range.Mapping - Enum in org.aika.corpus

Range.Operator - Enum in org.aika.corpus

Range.Output - Class in org.aika.corpus

Range.Relation - Class in org.aika.corpus

rangeMatch - Variable in class org.aika.neuron.Synapse.Builder

rangeMatch - Variable in class org.aika.neuron.Synapse.Key

rangeOutput - Variable in class org.aika.neuron.Synapse.Builder

rangeOutput - Variable in class org.aika.neuron.Synapse.Key

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

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

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

read(DataInput, Model) - Static method in class org.aika.corpus.Range.Output

read(DataInput, Model) - Static method in class org.aika.corpus.Range.Relation

read(DataInput, Model) - Static method in class org.aika.lattice.AndNode.Refinement

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

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

readFields(DataInput, Model) - Method in class org.aika.corpus.Range.Output

readFields(DataInput, Model) - Method in class org.aika.corpus.Range.Relation

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

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

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

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

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

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

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

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

readFields(DataInput, Model) - Method in class org.aika.training.MetaSynapse

readFields(DataInput, Model) - Method in class org.aika.training.NeuronStatistic

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

Deserialize the fields of this object from in.

readNeuron(DataInput, Neuron) - Static method in class org.aika.neuron.INeuron

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

ReadWriteLock - Class in org.aika

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

REC - Static variable in class org.aika.neuron.Activation.State

reconstructSelectedResult(Document) - Method in class org.aika.corpus.SearchNode

RECTIFIED_HYPERBOLIC_TANGENT - Static variable in interface org.aika.ActivationFunction

RECTIFIED_HYPERBOLIC_TANGENT_KEY - Static variable in interface org.aika.ActivationFunction

RECTIFIED_LINEAR_UNIT - Static variable in interface org.aika.ActivationFunction

RECTIFIED_LINEAR_UNIT_KEY - Static variable in interface org.aika.ActivationFunction

RECTIFIED_SCALED_LOGISTIC_SIGMOID - Static variable in interface org.aika.ActivationFunction

RECTIFIED_SCALED_LOGISTIC_SIGMOID_KEY - Static variable in interface org.aika.ActivationFunction

RECURRENT - Static variable in class org.aika.Converter

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

refByOrInterpretationNode - Variable in class org.aika.corpus.InterpretationNode

refinement - Variable in class org.aika.corpus.Candidate

Refinement(Integer, Provider<InputNode>) - Constructor for class org.aika.lattice.AndNode.Refinement

Refinement(Integer, Integer, Provider<InputNode>) - Constructor for class org.aika.lattice.AndNode.Refinement

register(A, Document) - Method in class org.aika.lattice.Node

register(Activation, Document) - Method in class org.aika.lattice.OrNode

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

registerActivationFunction(String, ActivationFunction) - Method in class org.aika.Model

Relation() - Constructor for class org.aika.corpus.Range.Relation

relativeRid - Variable in class org.aika.neuron.Synapse.Builder

relativeRid - Variable in class org.aika.neuron.Synapse.Key

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

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

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

remove() - Method in class org.aika.lattice.InputNode

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

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

removeInMemoryInputSynapse(Synapse) - Method in class org.aika.Neuron

removeInMemoryOutputSynapse(Synapse) - Method in class org.aika.Neuron

removeInput(Integer, int, Node, boolean) - Method in class org.aika.lattice.OrNode

removeParents(int, boolean) - Method in class org.aika.lattice.OrNode

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

removeSynapse(Synapse) - Method in class org.aika.lattice.InputNode

removeSynapseActivation(int, Activation.SynapseActivation) - Method in class org.aika.neuron.Activation

removeToArray(T[], T) - Static method in class org.aika.Utils

requiredNode - Variable in class org.aika.lattice.OrNode

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

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

Result(Synapse.Key, double, boolean) - Constructor for class org.aika.training.SynapseEvaluation.Result

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

reverseAndChildren - Variable in class org.aika.lattice.Node

rid - Variable in class org.aika.lattice.AndNode.Refinement

rid - Variable in class org.aika.lattice.NodeActivation.Key

rid - Variable in class org.aika.neuron.Activation.Builder

RID_COMP - Static variable in class org.aika.lattice.Node

RidOutOfRange(String) - Constructor for exception org.aika.lattice.Node.ThreadState.RidOutOfRange

RidVisited() - Constructor for class org.aika.lattice.Node.RidVisited

rootRefs - Variable in class org.aika.corpus.Document

rootSearchNode - Variable in class org.aika.corpus.Document

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

rounds - Variable in class org.aika.neuron.Activation

Rounds() - Constructor for class org.aika.neuron.Activation.Rounds

rounds - Variable in class org.aika.neuron.Activation.Rounds

S

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

saveNewState() - Method in class org.aika.neuron.Activation

saveOldState(List<Activation.StateChange>, long) - Method in class org.aika.neuron.Activation

search(Document, SearchNode) - Static method in class org.aika.corpus.SearchNode

Searches for the best interpretation for the given document.

SearchNode - Class in org.aika.corpus

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, Candidate, int, Collection<InterpretationNode>, boolean) - Constructor for class org.aika.corpus.SearchNode

SearchNode.DebugState - Enum in org.aika.corpus

searchNodeIdCounter - Variable in class org.aika.corpus.Document

searchRecursive(Document) - Method in class org.aika.corpus.SearchNode

This algorithm is the recursive version of the interpretation search.

searchStepCounter - Variable in class org.aika.corpus.Document

secondary - Variable in class org.aika.corpus.Conflicts.Conflict

secondary - Variable in class org.aika.corpus.Conflicts

select(Document, INeuron, Integer, Range, Range.Relation, InterpretationNode, InterpretationNode.Relation) - Static method in class org.aika.neuron.Activation

select(INeuron.ThreadState, INeuron, Integer, Range, Range.Relation, InterpretationNode, InterpretationNode.Relation) - Static method in class org.aika.neuron.Activation

selectedOrInterpretationNodes - Variable in class org.aika.corpus.InterpretationNode

selectedParent - Variable in class org.aika.corpus.SearchNode

selectedSearchNode - Variable in class org.aika.corpus.Document

sequence - Variable in class org.aika.neuron.Activation

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

setAbsoluteRid(Integer) - Method in class org.aika.neuron.Synapse.Builder

If the absolute relational id (rid) not null, then it is required to match the rid of input activation.

setAndNodeCheck(Model.AndNodeCheck) - Method in class org.aika.Model

setBeta(double) - Method in class org.aika.training.LongTermLearning.Config

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

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

setCheckExpandable(PatternDiscovery.ActivationEvaluation) - Method in class org.aika.training.PatternDiscovery.Config

This callback checks whether the current pattern might be refined to an even larger pattern.

setCheckValidPattern(PatternDiscovery.PatternEvaluation) - Method in class org.aika.training.PatternDiscovery.Config

setCounter(PatternDiscovery.Counter) - Method in class org.aika.training.PatternDiscovery.Config

The counter callback function should implement a customized counting function.

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

setInterpretation(InterpretationNode) - Method in class org.aika.neuron.Activation.Builder

setLearnRate(double) - Method in class org.aika.training.InterprSupprTraining.Config

setLearnRate(double) - Method in class org.aika.training.SupervisedTraining.Config

setLTDLearnRate(double) - Method in class org.aika.training.LongTermLearning.Config

setLTPLearnRate(double) - Method in class org.aika.training.LongTermLearning.Config

setMetaBias(double) - Method in class org.aika.training.MetaSynapse.Builder

setMetaRelativeRid(boolean) - Method in class org.aika.training.MetaSynapse.Builder

setMetaWeight(double) - Method in class org.aika.training.MetaSynapse.Builder

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

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

Determines the input neuron.

setNeuronStatisticFactory(Model.StatisticFactory) - Method in class org.aika.Model

setNodeStatisticFactory(Model.StatisticFactory) - Method in class org.aika.Model

setPerformBackpropagation(boolean) - Method in class org.aika.training.SupervisedTraining.Config

setQueued(int, boolean) - Method in class org.aika.neuron.Activation.Rounds

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

setRange(Range) - Method in class org.aika.neuron.Activation.Builder

setRangeMatch(Range.Relation) - Method in class org.aika.neuron.Synapse.Builder

setRangeMatch is just a convenience function to call both setBeginToBeginRangeMatch and setEndToEndRangeMatch at the same time.

setRangeMatch(Range.Operator, Range.Operator) - Method in class org.aika.neuron.Synapse.Builder

setRangeMatch is just a convenience function to call both setBeginToBeginRangeMatch and setEndToEndRangeMatch at the same time.

setRangeOutput(boolean) - Method in class org.aika.neuron.Synapse.Builder

setRangeOutput is just a convenience function to call setBeginRangeOutput and setEndRangeOutput at the same time.

setRangeOutput(boolean, boolean) - Method in class org.aika.neuron.Synapse.Builder

setRangeOutput is just a convenience function to call setBeginRangeOutput and setEndRangeOutput at the same time.

setRangeOutput(Range.Output) - Method in class org.aika.neuron.Synapse.Builder

setRangeOutput is just a convenience function to call setBeginRangeOutput and setEndRangeOutput at the same time.

setRangeOutput(Range.Mapping, Range.Mapping) - Method in class org.aika.neuron.Synapse.Builder

Determines if this input is used to compute the range start of the output activation.

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

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

setRelationalId(Integer) - Method in class org.aika.neuron.Activation.Builder

setRelativeRid(Integer) - Method in class org.aika.neuron.Synapse.Builder

The relative relational id (rid) determines the relative position of this inputs rid with respect to other inputs of this neuron.

setState(InterpretationNode.State, long) - Method in class org.aika.corpus.InterpretationNode

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

setSynapse(Synapse) - Method in class org.aika.lattice.InputNode

setSynapseEvaluation(SynapseEvaluation) - Method in class org.aika.training.LongTermLearning.Config

Determines whether a synapse should be created between two neurons during training.

setSynapseEvaluation(SynapseEvaluation) - Method in class org.aika.training.SupervisedTraining.Config

Determines whether a synapse should be created between two neurons during training.

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

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

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

The synapse weight of this input.

significance - Variable in class org.aika.training.SynapseEvaluation.Result

state - Variable in class org.aika.corpus.InterpretationNode

State(double, int, INeuron.NormWeight) - Constructor for class org.aika.neuron.Activation.State

StateChange() - Constructor for class org.aika.neuron.Activation.StateChange

statistic - Variable in class org.aika.lattice.Node

statistic - Variable in class org.aika.neuron.INeuron

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

sub(INeuron.NormWeight) - Method in class org.aika.neuron.INeuron.NormWeight

supervisedTraining - Variable in class org.aika.corpus.Document

SupervisedTraining - Class in org.aika.training

SupervisedTraining(Document) - Constructor for class org.aika.training.SupervisedTraining

SupervisedTraining.BackPropagationQueue - Class in org.aika.training

SupervisedTraining.Config - Class in org.aika.training

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

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

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

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

Suspend all neurons and logic nodes in memory.

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

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

suspensionHook - Variable in class org.aika.Model

SuspensionHook - Interface in org.aika

The suspension hook is used to suspend neurons and logic nodes to an external storage in order to reduce the memory footprint. !!!

synapse - Variable in class org.aika.neuron.Activation.SynapseActivation

Synapse - Class in org.aika.neuron

The Synapse class connects two neurons with each other.

Synapse() - Constructor for class org.aika.neuron.Synapse

Synapse(Neuron, Neuron) - Constructor for class org.aika.neuron.Synapse

Synapse(Neuron, Neuron, Synapse.Key) - Constructor for class org.aika.neuron.Synapse

Synapse.Builder - Class in org.aika.neuron

The Builder class is just a helper class which is used to initialize a neuron.

Synapse.Key - Class in org.aika.neuron

SYNAPSE_COMP - Static variable in class org.aika.Converter

SynapseActivation(Synapse, Activation, Activation) - Constructor for class org.aika.neuron.Activation.SynapseActivation

synapseEvaluation - Variable in class org.aika.training.LongTermLearning.Config

synapseEvaluation - Variable in class org.aika.training.SupervisedTraining.Config

SynapseEvaluation - Interface in org.aika.training

SynapseEvaluation.Result - Class in org.aika.training

synapseKey - Variable in class org.aika.training.SynapseEvaluation.Result

synapseLock - Variable in class org.aika.lattice.InputNode

synapses - Variable in class org.aika.lattice.InputNode

T

targetActivations - Variable in class org.aika.training.SupervisedTraining

targetValue - Variable in class org.aika.neuron.Activation.Builder

targetValue - Variable in class org.aika.neuron.Activation

threadId - Variable in class org.aika.corpus.Document

threads - Variable in class org.aika.lattice.Node

threads - Variable in class org.aika.neuron.INeuron

ThreadState() - Constructor for class org.aika.lattice.Node.ThreadState

ThreadState() - Constructor for class org.aika.neuron.INeuron.ThreadState

toBeDeleted - Variable in class org.aika.neuron.Synapse

TOLERANCE - Static variable in class org.aika.neuron.INeuron

toString() - Method in class org.aika.corpus.Candidate

toString() - Method in class org.aika.corpus.Document

toString() - Method in class org.aika.corpus.InterpretationNode

toString() - Method in enum org.aika.corpus.Range.Mapping

toString() - Method in class org.aika.corpus.Range

toString(Document) - Method in class org.aika.corpus.SearchNode

toString() - Method in class org.aika.lattice.AndNode.Refinement

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

toString() - Method in class org.aika.lattice.NodeActivation.Key

toString(Document) - Method in class org.aika.lattice.NodeActivation

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

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

toString(SearchNode, boolean, boolean, boolean) - Method in class org.aika.neuron.Activation

toString() - Method in class org.aika.neuron.INeuron.NormWeight

toString() - Method in class org.aika.neuron.INeuron

toString() - Method in class org.aika.neuron.Synapse

toString() - Method in class org.aika.Provider

toStringWithSynapses() - Method in class org.aika.neuron.INeuron

train(Document, InterprSupprTraining.Config) - Static method in class org.aika.training.InterprSupprTraining

train(Document, LongTermLearning.Config) - Static method in class org.aika.training.LongTermLearning

train(Document) - Static method in class org.aika.training.MetaNetwork

train(SupervisedTraining.Config) - Method in class org.aika.training.SupervisedTraining

train(INeuron, Activation, double, SynapseEvaluation) - Method in class org.aika.training.SupervisedTraining

type - Variable in class org.aika.neuron.INeuron

U

ubQueue - Variable in class org.aika.corpus.Document

ubQueued - Variable in class org.aika.neuron.Activation

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

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

update(Model, int, Neuron, double, Collection<Synapse>) - Static method in class org.aika.neuron.INeuron

updateErrorSignal(Activation) - Method in class org.aika.training.SupervisedTraining

upperBound - Variable in class org.aika.neuron.Activation

UpperBoundQueue() - Constructor for class org.aika.corpus.Document.UpperBoundQueue

Utils - Class in org.aika

Utils() - Constructor for class org.aika.Utils

V

value - Variable in class org.aika.neuron.Activation.Builder

value - Variable in class org.aika.neuron.Activation.State

valueOf(String) - Static method in enum org.aika.corpus.InterpretationNode.Relation

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

valueOf(String) - Static method in enum org.aika.corpus.InterpretationNode.State

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

valueOf(String) - Static method in enum org.aika.corpus.Range.Mapping

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

valueOf(String) - Static method in enum org.aika.corpus.Range.Operator

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

valueOf(String) - Static method in enum org.aika.corpus.SearchNode.DebugState

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

valueOf(String) - Static method in enum org.aika.neuron.Activation.Mode

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

valueOf(String) - Static method in enum org.aika.neuron.INeuron.Type

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

valueOf(String) - Static method in enum org.aika.Provider.SuspensionMode

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

ValueQueue() - Constructor for class org.aika.corpus.Document.ValueQueue

values() - Static method in enum org.aika.corpus.InterpretationNode.Relation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.aika.corpus.InterpretationNode.State

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.aika.corpus.Range.Mapping

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.aika.corpus.Range.Operator

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.aika.corpus.SearchNode.DebugState

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.aika.neuron.Activation.Mode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.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 org.aika.Provider.SuspensionMode

Returns an array containing the constants of this enum type, in the order they are declared.

visited - Variable in class org.aika.corpus.SearchNode

visited - Variable in class org.aika.lattice.Node.ThreadState

visited - Variable in class org.aika.lattice.NodeActivation

visitedCounter - Variable in class org.aika.corpus.Document

visitedCounter - Static variable in class org.aika.Model

vQueue - Variable in class org.aika.corpus.Document

W

w - Variable in class org.aika.neuron.INeuron.NormWeight

weight - Variable in class org.aika.neuron.Activation.State

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

weight - Variable in class org.aika.neuron.Synapse

The weight of this synapse.

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

weightDelta - Variable in class org.aika.neuron.Synapse

The weight delta of this synapse.

weightsToString() - Method in class org.aika.lattice.Node

Writable - Interface in org.aika

write(DataOutput) - Method in class org.aika.corpus.Range.Output

write(DataOutput) - Method in class org.aika.corpus.Range.Relation

write(DataOutput) - Method in class org.aika.lattice.AndNode.Refinement

write(DataOutput) - Method in class org.aika.lattice.AndNode

write(DataOutput) - Method in class org.aika.lattice.InputNode

write(DataOutput) - Method in class org.aika.lattice.Node

write(DataOutput) - Method in class org.aika.lattice.OrNode

write(DataOutput) - Method in class org.aika.neuron.INeuron

write(DataOutput) - Method in class org.aika.neuron.Synapse.Key

write(DataOutput) - Method in class org.aika.neuron.Synapse

write(DataOutput) - Method in class org.aika.training.MetaSynapse

write(DataOutput) - Method in class org.aika.training.NeuronStatistic

write(DataOutput) - Method in interface org.aika.Writable

Serialize the fields of this object to out.

Z

ZERO - Static variable in class org.aika.neuron.Activation.State

ZERO_WEIGHT - Static variable in class org.aika.neuron.INeuron.NormWeight

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