aima.learning.neural
Class FeedForwardNeuralNetwork

java.lang.Object
  aima.learning.neural.FeedForwardNeuralNetwork

All Implemented Interfaces:

FunctionApproximator

public class FeedForwardNeuralNetwork
extends java.lang.Object
implements FunctionApproximator

Field Summary

static java.lang.String	LOWER_LIMIT_WEIGHTS
static java.lang.String	NUMBER_OF_HIDDEN_NEURONS
static java.lang.String	NUMBER_OF_INPUTS
static java.lang.String	NUMBER_OF_OUTPUTS
static java.lang.String	UPPER_LIMIT_WEIGHTS

Constructor Summary

FeedForwardNeuralNetwork(Matrix hiddenLayerWeights, Vector hiddenLayerBias, Matrix outputLayerWeights, Vector outputLayerBias)

FeedForwardNeuralNetwork(NNConfig config)

Method Summary

Layer	getHiddenLayer()
Vector	getHiddenLayerBias()
Matrix	getHiddenLayerWeights()
Layer	getOutputLayer()
Vector	getOutputLayerBias()
Matrix	getOutputLayerWeights()
Vector	predict(NNExample nne)
void	processError(Vector error)
Vector	processInput(Vector input)
void	setTrainingScheme(NNTrainingScheme trainingScheme)
void	testOn(DataSet ds)
int[]	testOnDataSet(NNDataSet nnds)
void	trainOn(NNDataSet innds, int numberofEpochs)

Methods inherited from class java.lang.Object

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

Field Detail

UPPER_LIMIT_WEIGHTS

public static final java.lang.String UPPER_LIMIT_WEIGHTS

See Also:

Constant Field Values

LOWER_LIMIT_WEIGHTS

public static final java.lang.String LOWER_LIMIT_WEIGHTS

See Also:

Constant Field Values

NUMBER_OF_OUTPUTS

public static final java.lang.String NUMBER_OF_OUTPUTS

See Also:

Constant Field Values

NUMBER_OF_HIDDEN_NEURONS

public static final java.lang.String NUMBER_OF_HIDDEN_NEURONS

See Also:

Constant Field Values

NUMBER_OF_INPUTS

public static final java.lang.String NUMBER_OF_INPUTS

See Also:

Constant Field Values

Constructor Detail

FeedForwardNeuralNetwork

public FeedForwardNeuralNetwork(NNConfig config)

FeedForwardNeuralNetwork

public FeedForwardNeuralNetwork(Matrix hiddenLayerWeights,
                                Vector hiddenLayerBias,
                                Matrix outputLayerWeights,
                                Vector outputLayerBias)

Method Detail

processError

public void processError(Vector error)

Specified by:

processError in interface FunctionApproximator

processInput

public Vector processInput(Vector input)

Specified by:

processInput in interface FunctionApproximator

trainOn

public void trainOn(NNDataSet innds,
                    int numberofEpochs)

predict

public Vector predict(NNExample nne)

testOnDataSet

public int[] testOnDataSet(NNDataSet nnds)

testOn

public void testOn(DataSet ds)

getHiddenLayerWeights

public Matrix getHiddenLayerWeights()

getHiddenLayerBias

public Vector getHiddenLayerBias()

getOutputLayerWeights

public Matrix getOutputLayerWeights()

getOutputLayerBias

public Vector getOutputLayerBias()

getHiddenLayer

public Layer getHiddenLayer()

getOutputLayer

public Layer getOutputLayer()

setTrainingScheme

public void setTrainingScheme(NNTrainingScheme trainingScheme)