org.aika.network.neuron.simple.lattice

Class OrNode

java.lang.Object

org.aika.network.neuron.Node

org.aika.network.neuron.simple.lattice.LatticeNode

org.aika.network.neuron.simple.lattice.LogicNode

org.aika.network.neuron.simple.lattice.OrNode

All Implemented Interfaces:

Comparable<Node>

public class OrNode
extends LogicNode

Author:

Lukas Molzberger

Nested Class Summary

Nested classes/interfaces inherited from class org.aika.network.neuron.simple.lattice.LatticeNode

LatticeNode.RSKey

Nested classes/interfaces inherited from class org.aika.network.neuron.Node

Node.Queue

Field Summary

Fields

Modifier and Type	Field and Description
Map<LatticeNode,Double>	parents

Fields inherited from class org.aika.network.neuron.simple.lattice.LatticeNode

andChildren, andChildrenWithinDocument, orChildren, visitedAllowedOption, visitedCollectPublicNodes, visitedPropagateSignificance

Fields inherited from class org.aika.network.neuron.Node

activations, added, countingMode, currentNodeId, frequency, frequencyHasChanged, id, isBlocked, isPredefined, isQueued, isRemoved, isRemovedId, isRemovedIdCounter, level, MAX_NODE, MIN_NODE, minFrequency, n, neuron, removed, visitedCounter, weight

Constructor Summary

Constructors

Constructor and Description
OrNode(Model m, int level)

Method Summary

Modifier and Type	Method and Description
void	addActivation(Iteration t, Activation.Key ak, Range addedRange, Activation inputAct)
void	addInput(LatticeNode inputNode)
void	cleanup(Model m)
protected void	collectNodeAndRefinements(AndNode.Refinement newRef, Set<AndNode.Refinement> inputs)
double	computeForwardWeight(Activation act)
double	computeSynapseWeightSum(Neuron n)
boolean	containsNegative()
void	deleteActivation(Iteration t, Activation act)
void	expandToNextLevel(Iteration t, Activation act, Range addedRange, Option conflict, boolean train)
double	getNodeWeight(Activation act)
void	initActivation(Iteration t, Activation act)
boolean	isAllowedOption(Option n, Activation act, long v)
boolean	isNegative()
String	logicToString()
static void	processCandidate(Iteration t, LatticeNode parentNode, Activation act, Range addedRange, Option conflict, boolean train)
void	remove(Model m)
protected void	removeActivation(Iteration t, Activation act, Range removedRange)
void	setWeight(LatticeNode inputNode, double weight)

Methods inherited from class org.aika.network.neuron.simple.lattice.LatticeNode

addNeuron, collectPublicNodes, computeAndParents, computePredefinedAndNodes, computePredefinedInputNodes, computePredefinedSecondLevelAndNodes, getAndChildPatterns, isPublic, propagateAddedActivation, propagateRemovedActivation, removeFromNextLevel, train

Methods inherited from class org.aika.network.neuron.Node

addActivationAndPropagate, addActivationInternal, clearActivations, compare, compareTo, countActivation, getActivations, getFirstActivation, getSelectedActivations, isFrequentOrPredefined, isFrequentOrPredefined, processAddedActivations, processRemovedActivations, removeActivationAndPropagate, removeActivationInternal, retrieveInitialOption, toSimpleString, toString

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

parents

public Map<LatticeNode,Double> parents

Constructor Detail

OrNode

public OrNode(Model m,
              int level)

Method Detail

isNegative

public boolean isNegative()

Specified by:

isNegative in class Node

isAllowedOption

public boolean isAllowedOption(Option n,
                               Activation act,
                               long v)

Specified by:

isAllowedOption in class Node

containsNegative

public boolean containsNegative()

Specified by:

containsNegative in class Node

initActivation

public void initActivation(Iteration t,
                           Activation act)

Specified by:

initActivation in class Node

deleteActivation

public void deleteActivation(Iteration t,
                             Activation act)

Specified by:

deleteActivation in class Node

computeForwardWeight

public double computeForwardWeight(Activation act)

Specified by:

computeForwardWeight in class Node

getNodeWeight

public double getNodeWeight(Activation act)

Specified by:

getNodeWeight in class Node

addActivation

public void addActivation(Iteration t,
                          Activation.Key ak,
                          Range addedRange,
                          Activation inputAct)

removeActivation

protected void removeActivation(Iteration t,
                                Activation act,
                                Range removedRange)

computeSynapseWeightSum

public double computeSynapseWeightSum(Neuron n)

Specified by:

computeSynapseWeightSum in class Node

cleanup

public void cleanup(Model m)

Specified by:

cleanup in class Node

expandToNextLevel

public void expandToNextLevel(Iteration t,
                              Activation act,
                              Range addedRange,
                              Option conflict,
                              boolean train)

Specified by:

expandToNextLevel in class LatticeNode

processCandidate

public static void processCandidate(Iteration t,
                                    LatticeNode parentNode,
                                    Activation act,
                                    Range addedRange,
                                    Option conflict,
                                    boolean train)

collectNodeAndRefinements

protected void collectNodeAndRefinements(AndNode.Refinement newRef,
                                         Set<AndNode.Refinement> inputs)

Specified by:

collectNodeAndRefinements in class LatticeNode

addInput

public void addInput(LatticeNode inputNode)

setWeight

public void setWeight(LatticeNode inputNode,
                      double weight)

remove

public void remove(Model m)

Overrides:

remove in class LatticeNode

logicToString

public String logicToString()

Specified by:

logicToString in class Node