org.jscience.computing.ai.neurocomputing
Class FeedForwardNN

java.lang.Object
  org.jscience.computing.ai.neurocomputing.NeuralNetwork
      org.jscience.computing.ai.neurocomputing.FeedForwardNN

All Implemented Interfaces:

Visualizable

Direct Known Subclasses:

EvoFeedForwardNN

public class FeedForwardNN
extends NeuralNetwork

A simple implementation of a feedforward network.

Field Summary

protected FFNLayer[]	nnLayers The layers in this network.
protected int	numLayers The number of layers in the feedforward network.

Fields inherited from class org.jscience.computing.ai.neurocomputing.NeuralNetwork

activation, visualization

Constructor Summary

FeedForwardNN(int hiddenLayers)
Creates a new instance of FeedForwardNN

Method Summary

void	initialize() Initialize the network.
static void	main(java.lang.String[] args) DOCUMENT ME!
double	run(double[] inputData) Run the network with the given inputs.
void	setHiddenLayer(FFNLayer hidden, int layer) Set the given hidden layer.
void	setInputLayer(FFNInputLayer input) Set the input layer for the network.
void	setOutputLayer(FFNLayer output) Set the output layer.
double	train(double[] inputData, double[] outputData) This class does not implement a training algorithm.

Methods inherited from class org.jscience.computing.ai.neurocomputing.NeuralNetwork

getVisualization, render, setActivation, setVisualization, train, train, writeImage

Methods inherited from class java.lang.Object

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

Field Detail

numLayers

protected int numLayers

The number of layers in the feedforward network.

nnLayers

protected FFNLayer[] nnLayers

The layers in this network.

Constructor Detail

FeedForwardNN

public FeedForwardNN(int hiddenLayers)

Creates a new instance of FeedForwardNN

Parameters:

hiddenLayers - the number of hidden layers to be in this network.

Method Detail

setInputLayer

public void setInputLayer(FFNInputLayer input)

Set the input layer for the network.

Parameters:

input - the input layer.

setHiddenLayer

public void setHiddenLayer(FFNLayer hidden,
                           int layer)

Set the given hidden layer.

Parameters:

hidden - the hidden layer.

layer - the layer index.

Throws:

java.lang.IllegalArgumentException - DOCUMENT ME!

setOutputLayer

public void setOutputLayer(FFNLayer output)

Set the output layer.

Parameters:

output - the output layer.

initialize

public void initialize()
                throws NeuralNetworkException

Initialize the network. This method verifies that all layers have been added, and automatically connects each layer to the next.

Specified by:

initialize in class NeuralNetwork

Throws:

NeuralNetworkException - an exception is thrown if a layer is missing.

run

public double run(double[] inputData)
           throws NeuralNetworkException

Run the network with the given inputs.

Specified by:

run in class NeuralNetwork

Parameters:

inputData - the inputs.

Returns:

the output of the feedforward network.

Throws:

NeuralNetworkException - unused.

train

public double train(double[] inputData,
                    double[] outputData)

This class does not implement a training algorithm.

Specified by:

train in class NeuralNetwork

Parameters:

inputData - unused.

outputData - unused.

Returns:

-1.

main

public static void main(java.lang.String[] args)

DOCUMENT ME!

Parameters:

args - the command line arguments