org.encog.neural.pattern

Class HopfieldPattern

java.lang.Object

org.encog.neural.pattern.HopfieldPattern

All Implemented Interfaces:

NeuralNetworkPattern

public class HopfieldPattern
extends Object
implements NeuralNetworkPattern

Create a Hopfield pattern. A Hopfield neural network has a single layer that functions both as the input and output layers. There are no hidden layers. Hopfield networks are used for basic pattern recognition. When a Hopfield network recognizes a pattern, it "echos" that pattern on the output.

Author:

jheaton

Constructor Summary

Constructors

Constructor and Description
HopfieldPattern()

Method Summary

Methods

Modifier and Type	Method and Description
void	addHiddenLayer(int count) Add a hidden layer.
void	clear() Nothing to clear.
MLMethod	generate() Generate the Hopfield neural network.
void	setActivationFunction(ActivationFunction activation) Set the activation function to use.
void	setInputNeurons(int count) Set the number of input neurons, this must match the output neurons.
void	setOutputNeurons(int count) Set the number of output neurons, should not be used with a hopfield neural network, because the number of input neurons defines 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

HopfieldPattern

public HopfieldPattern()

Method Detail

addHiddenLayer

public void addHiddenLayer(int count)

Add a hidden layer. This will throw an error, because the Hopfield neural network has no hidden layers.

Specified by:

addHiddenLayer in interface NeuralNetworkPattern

Parameters:

count - The number of neurons.

clear

public void clear()

Nothing to clear.

Specified by:

clear in interface NeuralNetworkPattern

generate

public MLMethod generate()

Generate the Hopfield neural network.

Specified by:

generate in interface NeuralNetworkPattern

Returns:

The generated network.

setActivationFunction

public void setActivationFunction(ActivationFunction activation)

Set the activation function to use. This function will throw an error, because the Hopfield network must use the BiPolar activation function.

Specified by:

setActivationFunction in interface NeuralNetworkPattern

Parameters:

activation - The activation function to use.

setInputNeurons

public void setInputNeurons(int count)

Set the number of input neurons, this must match the output neurons.

Specified by:

setInputNeurons in interface NeuralNetworkPattern

Parameters:

count - The number of neurons.

setOutputNeurons

public void setOutputNeurons(int count)

Set the number of output neurons, should not be used with a hopfield neural network, because the number of input neurons defines the number of output neurons.

Specified by:

setOutputNeurons in interface NeuralNetworkPattern

Parameters:

count - The number of neurons.