org.aika.network.neuron.simple.lattice

Class PositiveInputNode

java.lang.Object

org.aika.network.neuron.Node

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

org.aika.network.neuron.simple.lattice.InputNode

org.aika.network.neuron.simple.lattice.PositiveInputNode

All Implemented Interfaces:

Comparable<Node>, Input

public class PositiveInputNode
extends InputNode

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

Nested classes/interfaces inherited from interface org.aika.network.neuron.Input

Input.InputKey

Field Summary

Fields

Modifier and Type	Field and Description
static int	INPUT_TYPE

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

inputNeuron, rid

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
PositiveInputNode(Model m, Integer rid)

Method Summary

Modifier and Type	Method and Description
void	cleanup(Model m)
double	computeForwardWeight(Activation act)
boolean	containsNegative()
double	getNodeWeight(Activation act)
int	getSign()
boolean	isNegative()
void	remove(Model m)

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

add, addActivation, collectNodeAndRefinements, computeSynapseWeightSum, deleteActivation, expandToNextLevel, initActivation, isAllowedOption, logicToString, removeActivation

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

INPUT_TYPE

public static final int INPUT_TYPE

See Also:

Constant Field Values

Constructor Detail

PositiveInputNode

public PositiveInputNode(Model m,
                         Integer rid)

Method Detail

isNegative

public boolean isNegative()

Specified by:

isNegative in class Node

containsNegative

public boolean containsNegative()

Specified by:

containsNegative 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

getSign

public int getSign()

Specified by:

getSign in class InputNode

cleanup

public void cleanup(Model m)

Specified by:

cleanup in class Node

remove

public void remove(Model m)

Specified by:

remove in interface Input

Overrides:

remove in class LatticeNode