org.encog.neural.pattern

Class FeedForwardPattern

java.lang.Object

org.encog.neural.pattern.FeedForwardPattern

All Implemented Interfaces:

NeuralNetworkPattern

public class FeedForwardPattern
extends Object
implements NeuralNetworkPattern

Used to create feedforward neural networks. A feedforward network has an input and output layers separated by zero or more hidden layers. The feedforward neural network is one of the most common neural network patterns.

Author:

jheaton

Constructor Summary

Constructors

Constructor and Description
FeedForwardPattern()

Method Summary

Methods

Modifier and Type	Method and Description
void	addHiddenLayer(int count) Add a hidden layer, with the specified number of neurons.
void	clear() Clear out any hidden neurons.
MLMethod	generate() Generate the feedforward neural network.
ActivationFunction	getActivationOutput()
void	setActivationFunction(ActivationFunction activation) Set the activation function to use on each of the layers.
void	setActivationOutput(ActivationFunction activationOutput)
void	setInputNeurons(int count) Set the number of input neurons.
void	setOutputNeurons(int count) Set the number of output neurons.

Methods inherited from class java.lang.Object

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

Constructor Detail

FeedForwardPattern

public FeedForwardPattern()

Method Detail

addHiddenLayer

public void addHiddenLayer(int count)

Add a hidden layer, with the specified number of neurons.

Specified by:

addHiddenLayer in interface NeuralNetworkPattern

Parameters:

count - The number of neurons to add.

clear

public void clear()

Clear out any hidden neurons.

Specified by:

clear in interface NeuralNetworkPattern

generate

public MLMethod generate()

Generate the feedforward neural network.

Specified by:

generate in interface NeuralNetworkPattern

Returns:

The feedforward neural network.

setActivationFunction

public void setActivationFunction(ActivationFunction activation)

Set the activation function to use on each of the layers.

Specified by:

setActivationFunction in interface NeuralNetworkPattern

Parameters:

activation - The activation function.

setInputNeurons

public void setInputNeurons(int count)

Set the number of input neurons.

Specified by:

setInputNeurons in interface NeuralNetworkPattern

Parameters:

count - Neuron count.

setOutputNeurons

public void setOutputNeurons(int count)

Set the number of output neurons.

Specified by:

setOutputNeurons in interface NeuralNetworkPattern

Parameters:

count - Neuron count.

getActivationOutput

public ActivationFunction getActivationOutput()

Returns:

the activationOutput

setActivationOutput

public void setActivationOutput(ActivationFunction activationOutput)

Parameters:

activationOutput - the activationOutput to set