org.encog.neural.pattern
Class SOMPattern

java.lang.Object
  org.encog.neural.pattern.SOMPattern

All Implemented Interfaces:

NeuralNetworkPattern

public class SOMPattern
extends Object
implements NeuralNetworkPattern

A self organizing map is a neural network pattern with an input and output layer. There is no hidden layer. The winning neuron, which is that neuron with the higest output is the winner, this winning neuron is often used to classify the input into a group.

Author:

jheaton

Constructor Summary

SOMPattern()

Method Summary

void	addHiddenLayer(int count) Add a hidden layer.
void	clear() Clear out any hidden neurons.
MLMethod	generate() Generate the RSOM network.
void	setActivationFunction(ActivationFunction activation) Set the activation function.
void	setInputNeurons(int count) Set the input neuron count.
void	setOutputNeurons(int count) Set the output neuron count.

Methods inherited from class java.lang.Object

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

Constructor Detail

SOMPattern

public SOMPattern()

Method Detail

addHiddenLayer

public final void addHiddenLayer(int count)

Add a hidden layer. SOM networks do not have hidden layers, so this will throw an error.

Specified by:

addHiddenLayer in interface NeuralNetworkPattern

Parameters:

count - The number of hidden neurons.

clear

public void clear()

Clear out any hidden neurons.

Specified by:

clear in interface NeuralNetworkPattern

generate

public final MLMethod generate()

Generate the RSOM network.

Specified by:

generate in interface NeuralNetworkPattern

Returns:

The neural network.

setActivationFunction

public final void setActivationFunction(ActivationFunction activation)

Set the activation function. A SOM uses a linear activation function, so this method throws an error.

Specified by:

setActivationFunction in interface NeuralNetworkPattern

Parameters:

activation - The activation function to use.

setInputNeurons

public final void setInputNeurons(int count)

Set the input neuron count.

Specified by:

setInputNeurons in interface NeuralNetworkPattern

Parameters:

count - The number of neurons.

setOutputNeurons

public final void setOutputNeurons(int count)

Set the output neuron count.

Specified by:

setOutputNeurons in interface NeuralNetworkPattern

Parameters:

count - The number of neurons.