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AI.NeuralNetworks
Class BackErrorPropagation  

java.lang.Object
  AI.NeuralNetworks.FeedForwardNetwork
      AI.NeuralNetworks.BackErrorPropagation

All Implemented Interfaces:

NeuralNetworkTeacher

Direct Known Subclasses:

DistributedBackErrorPropagation

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public class BackErrorPropagation

extends FeedForwardNetwork

implements NeuralNetworkTeacher

This Class is a nerual network with a multiple layer feed forward architecture where the back error propagation could be run

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Field Summary
protected static java.lang.String	COMMENT_TOKEN
protected static float	DEFAULT_LEARNING_RATE
protected static long	DEFAULT_MAXIMUM_EPOCH
protected static float	DEFAULT_MOMENTUM_RATE
protected static float	DEFAULT_STOP_ERROR
protected static java.lang.String	END_TOKEN
protected static java.lang.String	INPUT_TOKEN
protected  float	learningRate
protected  long	maximumEpoch
protected  float	momentumRate
protected  Notify	notifyError
protected static java.lang.String	OUTPUT_TOKEN
protected  float	stopError
protected static java.lang.String	VECTOR_TOKEN

 

Fields inherited from class AI.NeuralNetworks.FeedForwardNetwork

HEXADECIMAL_VERSION, INPUT_LAYER_TOKEN, layers, NUMBER_OF_LAYERS_TOKEN, VERSION, VERSION_TOKEN, WEIGHTED_LAYER_TOKEN, WEIGHTS_TOKEN

 

Constructor Summary
protected	BackErrorPropagation()           this construcctor should not be used it is here for inheriterence only
	BackErrorPropagation(FeedForwardNetwork network)           Creates a new BackErrorPropagation instance
	BackErrorPropagation(FeedForwardNetwork network, float learningRate, float momentumRate, long maximumEpoch, float stopError)           Creates a new BackErrorPropagation instance

 

Method Summary
void	addDeltaWeights()           Adds the deltaWeights to the weights
void	adjustDeltaWeights(float[] input, float[] expectedOutput)           Calculates the delta weights for this pattern and adds it to the acumlated deltas
private static java.util.StringTokenizer	getNextStringTokenizer(java.io.BufferedReader input, java.lang.String token)
static java.util.LinkedList	getVectors(java.io.BufferedReader input)
static java.util.LinkedList	getVectorsFormFile(java.lang.String fileName)
static int[]	parseStructure(java.lang.String stringStructure)           converts a string composed by tokens that could be converted to int to an array of int
void	resetDeltaWeights()           Sets the acumulated delta weights to 0
void	setLearnningRate(float newRate)           Sets the learnning rate
void	setMaximumEpoch(int newMaxEpoch)           Sets the maximum epoch
void	setNotifyError(Notify notifyError)           Sets an implementation of Notify, that will be notified of the error of each epoch
void	setStopError(float newStopError)           Sets the stop error
float	trainNetwork(java.util.LinkedList trainingPatterns)           Trains the network with the given patterns

 

Methods inherited from class AI.NeuralNetworks.FeedForwardNetwork

inputSize, netToIntArrey, outputSize, runVector, save, saveToFile, toString

 

Methods inherited from class java.lang.Object

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

 

Field Detail

COMMENT_TOKEN

protected static final java.lang.String COMMENT_TOKEN

See Also:

Constant Field Values

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INPUT_TOKEN

protected static final java.lang.String INPUT_TOKEN

See Also:

Constant Field Values

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OUTPUT_TOKEN

protected static final java.lang.String OUTPUT_TOKEN

See Also:

Constant Field Values

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VECTOR_TOKEN

protected static final java.lang.String VECTOR_TOKEN

See Also:

Constant Field Values

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END_TOKEN

protected static final java.lang.String END_TOKEN

See Also:

Constant Field Values

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DEFAULT_LEARNING_RATE

protected static float DEFAULT_LEARNING_RATE

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DEFAULT_MOMENTUM_RATE

protected static float DEFAULT_MOMENTUM_RATE

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DEFAULT_MAXIMUM_EPOCH

protected static long DEFAULT_MAXIMUM_EPOCH

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DEFAULT_STOP_ERROR

protected static float DEFAULT_STOP_ERROR

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learningRate

protected float learningRate

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momentumRate

protected float momentumRate

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maximumEpoch

protected long maximumEpoch

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stopError

protected float stopError

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notifyError

protected Notify notifyError

Constructor Detail

BackErrorPropagation

public BackErrorPropagation(FeedForwardNetwork network,
                            float learningRate,
                            float momentumRate,
                            long maximumEpoch,
                            float stopError)

Creates a new BackErrorPropagation instance

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BackErrorPropagation

public BackErrorPropagation(FeedForwardNetwork network)

Creates a new BackErrorPropagation instance

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BackErrorPropagation

protected BackErrorPropagation()

this construcctor should not be used it is here for inheriterence only

Method Detail

trainNetwork

public float trainNetwork(java.util.LinkedList trainingPatterns)
                   throws UnexpectedInputArraySizeException

Trains the network with the given patterns

Specified by:

trainNetwork in interface NeuralNetworkTeacher

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resetDeltaWeights

public void resetDeltaWeights()

Sets the acumulated delta weights to 0

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adjustDeltaWeights

public void adjustDeltaWeights(float[] input,
                               float[] expectedOutput)
                        throws UnexpectedInputArraySizeException

Calculates the delta weights for this pattern and adds it to the acumlated deltas

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addDeltaWeights

public void addDeltaWeights()

Adds the deltaWeights to the weights

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setNotifyError

public void setNotifyError(Notify notifyError)

Sets an implementation of Notify, that will be notified of the error of each epoch

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setLearnningRate

public void setLearnningRate(float newRate)

Sets the learnning rate

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setMaximumEpoch

public void setMaximumEpoch(int newMaxEpoch)

Sets the maximum epoch

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setStopError

public void setStopError(float newStopError)

Sets the stop error

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getVectorsFormFile

public static java.util.LinkedList getVectorsFormFile(java.lang.String fileName)

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getVectors

public static java.util.LinkedList getVectors(java.io.BufferedReader input)

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parseStructure

public static int[] parseStructure(java.lang.String stringStructure)

converts a string composed by tokens that could be converted to int to an array of int

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getNextStringTokenizer

private static java.util.StringTokenizer getNextStringTokenizer(java.io.BufferedReader input,
                                                                java.lang.String token)
                                                         throws java.io.IOException,
                                                                java.util.NoSuchElementException

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Overview  Package   Class  Use  Deprecated  Index
Home >> All >> AI >> [ NeuralNetworks overview ]	PREV CLASS  NEXT CLASS
SUMMARY:  JAVADOC |  SOURCE |  DOWNLOAD | NESTED | FIELD | CONSTR | METHOD	DETAIL: FIELD | CONSTR | METHOD

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