network.aika.lattice

Class InputNode

java.lang.Object

network.aika.AbstractNode<Provider<T>,A>

network.aika.lattice.Node<InputNode,InputNode.InputActivation>

network.aika.lattice.InputNode

All Implemented Interfaces:

Comparable<Node>, Writable

public class InputNode
extends Node<InputNode,InputNode.InputActivation>

The InputNode class is the input layer for the boolean logic. The input-node has two sources of activations. First, it might be underlying logic node of an InputNeuron in which case the input activations come from the outside. The second option is that the activation come from the output of another neuron.

Author:

Lukas Molzberger

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	InputNode.InputActivation
static class	InputNode.Link

Nested classes/interfaces inherited from class network.aika.lattice.Node

Node.ThreadState<T extends Node,A extends NodeActivation>

Field Summary

Fields

Modifier and Type	Field and Description
static Relation[]	CANDIDATE_RELATIONS
Neuron	inputNeuron
TreeMap<AndNode.Refinement,AndNode.RefValue>	nonExactAndChildren

Fields inherited from class network.aika.lattice.Node

andChildren, extension, isDiscovered, level, lock, markedCreated, MAX_NODE, MIN_NODE, numberOfNeuronRefs, orChildren, threads

Fields inherited from class network.aika.AbstractNode

lastUsedDocumentId, modified, provider

Constructor Summary

Constructors

Constructor and Description
InputNode()
InputNode(Model m)

Method Summary

Modifier and Type	Method and Description
static InputNode	add(Model m, INeuron input)
void	addActivation(Activation inputAct)
void	cleanup()
void	discover(InputNode.InputActivation act, PatternDiscovery.Config config)
AndNode.RefValue	extend(int threadId, Document doc, AndNode.Refinement ref, PatternDiscovery.Config patterDiscoveryConfig)
static List<Relation>	getRelations(Activation act1, Activation act2)
String	logicToString()
void	propagate(InputNode.InputActivation act) Propagate an activation to the next node or the next neuron that is depending on the current node.
void	readFields(DataInput in, Model m) Deserialize the fields of this object from in.
void	reprocessInputs(Document doc)
void	write(DataOutput out) Serialize the fields of this object to out.

Methods inherited from class network.aika.lattice.Node

addActivation, changeNumberOfNeuronRefs, clearActivations, clearActivations, clearActivations, compareTo, getActivations, getNeuronLabel, getThreadState, isRequired, postCreate, processChanges, readNode, register, remove, toString

Methods inherited from class network.aika.AbstractNode

reactivate, read, setModified, suspend

Methods inherited from class java.lang.Object

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

Field Detail

inputNeuron

public Neuron inputNeuron

nonExactAndChildren

public TreeMap<AndNode.Refinement,AndNode.RefValue> nonExactAndChildren

CANDIDATE_RELATIONS

public static final Relation[] CANDIDATE_RELATIONS

Constructor Detail

InputNode

public InputNode()

InputNode

public InputNode(Model m)

Method Detail

add

public static InputNode add(Model m,
                            INeuron input)

addActivation

public void addActivation(Activation inputAct)

propagate

public void propagate(InputNode.InputActivation act)

Description copied from class: AbstractNode

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

Specified by:

propagate in class AbstractNode<Provider<InputNode>,InputNode.InputActivation>

reprocessInputs

public void reprocessInputs(Document doc)

Specified by:

reprocessInputs in class Node<InputNode,InputNode.InputActivation>

extend

public AndNode.RefValue extend(int threadId,
                               Document doc,
                               AndNode.Refinement ref,
                               PatternDiscovery.Config patterDiscoveryConfig)

Specified by:

extend in class Node<InputNode,InputNode.InputActivation>

discover

public void discover(InputNode.InputActivation act,
                     PatternDiscovery.Config config)

Specified by:

discover in class Node<InputNode,InputNode.InputActivation>

getRelations

public static List<Relation> getRelations(Activation act1,
                                          Activation act2)

cleanup

public void cleanup()

Specified by:

cleanup in class Node<InputNode,InputNode.InputActivation>

logicToString

public String logicToString()

Specified by:

logicToString in class Node<InputNode,InputNode.InputActivation>

write

public void write(DataOutput out)
           throws IOException

Description copied from interface: Writable

Serialize the fields of this object to out.

Specified by:

write in interface Writable

Overrides:

write in class Node<InputNode,InputNode.InputActivation>

Parameters:

out - DataOuput to serialize this object into.

Throws:

IOException

readFields

public void readFields(DataInput in,
                       Model m)
                throws IOException

Description copied from interface: Writable

Deserialize the fields of this object from in.

For efficiency, implementations should attempt to re-use storage in the existing object where possible.

Specified by:

readFields in interface Writable

Overrides:

readFields in class Node<InputNode,InputNode.InputActivation>

Parameters:

in - DataInput to deseriablize this object from.

Throws:

IOException