org.aika

Class Iteration

java.lang.Object

org.aika.Iteration

public class Iteration
extends Object

Author:

Lukas Molzberger

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Iteration.BackPropagationQueue
static class	Iteration.Input
class	Iteration.Queue
class	Iteration.UpperBoundQueue
class	Iteration.ValueQueue
static class	Iteration.VEntry

Field Summary

Fields

Modifier and Type	Field and Description
TreeSet<Neuron>	activatedInputNeurons
TreeSet<Neuron>	activatedNeurons
TreeSet<Node>	activatedNodes
TreeSet<Node>	activatedNodesForTraining
static Comparator<Activation>	ACTIVATIONS_OUTPUT_COMPARATOR
TreeMap<Activation.Key,Activation>	activationsByRid
TreeSet<Node>	addedNodes
static boolean	APPLY_DEBUG_OUTPUT
Iteration.BackPropagationQueue	bQueue
static int	CLEANUP_INTERVAL
Document	doc
TreeSet<Neuron>	finallyActivatedNeurons
TreeSet<Activation>	inputNeuronActivations
TreeSet<Activation>	inputNodeActivations
long	iterationId
Model	m
static int	numberOfPositionsDelta
static boolean	OPTIMIZE_DEBUG_OUTPUT
Iteration.Queue	queue
int	threadId
static boolean	TRAIN_DEBUG_OUTPUT
Iteration.UpperBoundQueue	ubQueue
Iteration.ValueQueue	vQueue

Method Summary

Modifier and Type	Method and Description
void	changeNumberOfPositions(int delta)
void	clearActivations()
void	count()
Neuron	createAndNeuron(Neuron n, double threshold, Collection<Iteration.Input> inputs) Creates a neuron representing a conjunction of its inputs.
Neuron	createAndNeuron(Neuron n, double threshold, Iteration.Input... inputs)
Neuron	createCounterNeuron(Neuron n, Neuron clockSignal, boolean dirCS, Neuron startSignal, boolean dirSS, boolean direction) A cycle neuron is used to compute the relational id.
Neuron	createNeuron(Neuron n, double bias, Collection<Iteration.Input> inputs)
Neuron	createNeuron(Neuron n, double bias, Iteration.Input... inputs)
InputNeuron	createOrLookupInputSignal(String label)
InputNeuron	createOrLookupInputSignal(String label, boolean isBlocked)
Neuron	createOrNeuron(Neuron n, Iteration.Input... inputs)
Neuron	createOrNeuron(Neuron n, Set<Iteration.Input> inputs) Creates a neuron representing a disjunction of its inputs.
Neuron	createRelationalNeuron(Neuron n, Neuron ctn, Neuron inputSignal, boolean dirIS) A relational neuron combines the relational id created by a cycle neuron with an input signal.
String	networkStateToString(boolean withWeights)
String	networkStateToString(boolean neuronsOnly, boolean withWeights)
void	process()
void	propagate()
void	train()

Methods inherited from class java.lang.Object

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

Field Detail

APPLY_DEBUG_OUTPUT

public static boolean APPLY_DEBUG_OUTPUT

OPTIMIZE_DEBUG_OUTPUT

public static boolean OPTIMIZE_DEBUG_OUTPUT

TRAIN_DEBUG_OUTPUT

public static boolean TRAIN_DEBUG_OUTPUT

CLEANUP_INTERVAL

public static int CLEANUP_INTERVAL

doc

public Document doc

m

public Model m

threadId

public int threadId

iterationId

public long iterationId

queue

public Iteration.Queue queue

vQueue

public Iteration.ValueQueue vQueue

ubQueue

public Iteration.UpperBoundQueue ubQueue

bQueue

public Iteration.BackPropagationQueue bQueue

activatedNodes

public TreeSet<Node> activatedNodes

activatedNodesForTraining

public TreeSet<Node> activatedNodesForTraining

activatedInputNeurons

public TreeSet<Neuron> activatedInputNeurons

activatedNeurons

public TreeSet<Neuron> activatedNeurons

finallyActivatedNeurons

public TreeSet<Neuron> finallyActivatedNeurons

inputNeuronActivations

public TreeSet<Activation> inputNeuronActivations

inputNodeActivations

public TreeSet<Activation> inputNodeActivations

activationsByRid

public TreeMap<Activation.Key,Activation> activationsByRid

addedNodes

public TreeSet<Node> addedNodes

numberOfPositionsDelta

public static int numberOfPositionsDelta

ACTIVATIONS_OUTPUT_COMPARATOR

public static Comparator<Activation> ACTIVATIONS_OUTPUT_COMPARATOR

Method Detail

propagate

public void propagate()

process

public void process()

count

public void count()

train

public void train()

clearActivations

public void clearActivations()

changeNumberOfPositions

public void changeNumberOfPositions(int delta)

createOrLookupInputSignal

public InputNeuron createOrLookupInputSignal(String label)

createOrLookupInputSignal

public InputNeuron createOrLookupInputSignal(String label,
                                             boolean isBlocked)

createAndNeuron

public Neuron createAndNeuron(Neuron n,
                              double threshold,
                              Iteration.Input... inputs)

createAndNeuron

public Neuron createAndNeuron(Neuron n,
                              double threshold,
                              Collection<Iteration.Input> inputs)

Creates a neuron representing a conjunction of its inputs.

Parameters:

n -

threshold -

inputs -

Returns:

createNeuron

public Neuron createNeuron(Neuron n,
                           double bias,
                           Iteration.Input... inputs)

createNeuron

public Neuron createNeuron(Neuron n,
                           double bias,
                           Collection<Iteration.Input> inputs)

createOrNeuron

public Neuron createOrNeuron(Neuron n,
                             Iteration.Input... inputs)

createOrNeuron

public Neuron createOrNeuron(Neuron n,
                             Set<Iteration.Input> inputs)

Creates a neuron representing a disjunction of its inputs.

Parameters:

n -

inputs -

Returns:

createRelationalNeuron

public Neuron createRelationalNeuron(Neuron n,
                                     Neuron ctn,
                                     Neuron inputSignal,
                                     boolean dirIS)

A relational neuron combines the relational id created by a cycle neuron with an input signal.

Parameters:

n -

ctn -

inputSignal -

dirIS -

Returns:

createCounterNeuron

public Neuron createCounterNeuron(Neuron n,
                                  Neuron clockSignal,
                                  boolean dirCS,
                                  Neuron startSignal,
                                  boolean dirSS,
                                  boolean direction)

A cycle neuron is used to compute the relational id. It simply adds a new activation after each clock signal and increases the relational id by one.

Parameters:

n -

clockSignal -

dirCS - The direction of the clock signal.

startSignal -

dirSS - The direction of the start signal.

direction -

Returns:

networkStateToString

public String networkStateToString(boolean withWeights)

networkStateToString

public String networkStateToString(boolean neuronsOnly,
                                   boolean withWeights)