yawn.nn.mlp.smart
Class SmartMultiLayerPerceptron

java.lang.Object
  yawn.nn.NeuralNetwork
      yawn.nn.mlp.smart.SmartMultiLayerPerceptron

All Implemented Interfaces:

java.io.Serializable

public class SmartMultiLayerPerceptron
extends NeuralNetwork

This is yawn.nn.mlp.SmartMultiLayerPerceptron part of the yawn project. $Id: SmartMultiLayerPerceptron.java,v 1.3 2005/04/07 17:28:26 supermarti Exp $

Version:

$Revision: 1.3 $

Author:

Luis Martí (luis dot marti at uc3m dot es)

See Also:

Serialized Form

Field Summary

protected long	currentEpoch
protected long	maxEpochs
protected double	maxLearningRate
protected MultiLayerPerceptron	net
protected double	predictionError

Constructor Summary

SmartMultiLayerPerceptron()

Method Summary

int	getInputSize()
java.lang.String	getNeuralNetworkName() Returns a human readable
int	getOutputSize()
void	oneLearningStep(Pattern input, Pattern output) Performs one learning iteration.
Pattern	predict(Pattern input) Computes a network prediction
void	setup(NeuralNetworkConfig config)
void	train(InputOutputPattern[] iop) Trains the network until the stop criteria is met.
NeuralNetworkConfig	yieldConfiguration()

Methods inherited from class yawn.nn.NeuralNetwork

getAdapting, getStatisticsFacility, isAdapting, setAdapting, setStatisticsFacility

Methods inherited from class java.lang.Object

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

Field Detail

currentEpoch

protected long currentEpoch

maxLearningRate

protected double maxLearningRate

maxEpochs

protected long maxEpochs

predictionError

protected double predictionError

net

protected MultiLayerPerceptron net

Constructor Detail

SmartMultiLayerPerceptron

public SmartMultiLayerPerceptron()

Method Detail

oneLearningStep

public void oneLearningStep(Pattern input,
                            Pattern output)

Description copied from class: NeuralNetwork

Performs one learning iteration.

Specified by:

oneLearningStep in class NeuralNetwork

Parameters:

input - The network input.

output - The desired output.

predict

public Pattern predict(Pattern input)

Description copied from class: NeuralNetwork

Computes a network prediction

Specified by:

predict in class NeuralNetwork

Parameters:

input - The input to propagate.

Returns:

the network output.

train

public void train(InputOutputPattern[] iop)

Description copied from class: NeuralNetwork

Trains the network until the stop criteria is met.

Specified by:

train in class NeuralNetwork

Parameters:

iop - The training set to be learned.

getInputSize

public int getInputSize()

Specified by:

getInputSize in class NeuralNetwork

getOutputSize

public int getOutputSize()

Specified by:

getOutputSize in class NeuralNetwork

setup

public void setup(NeuralNetworkConfig config)
           throws ConfigurationException

Specified by:

setup in class NeuralNetwork

Throws:

ConfigurationException

yieldConfiguration

public NeuralNetworkConfig yieldConfiguration()

Specified by:

yieldConfiguration in class NeuralNetwork

getNeuralNetworkName

public java.lang.String getNeuralNetworkName()

Description copied from class: NeuralNetwork

Returns a human readable

Specified by:

getNeuralNetworkName in class NeuralNetwork

Returns:

The name