org.encog.neural.pattern

Class CPNPattern

java.lang.Object

org.encog.neural.pattern.CPNPattern

All Implemented Interfaces:

NeuralNetworkPattern

public class CPNPattern
extends java.lang.Object
implements NeuralNetworkPattern

Pattern that creates a CPN neural network.

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	TAG_INSTAR The tag for the INSTAR layer.
static java.lang.String	TAG_OUTSTAR The tag for the OUTSTAR layer.

Constructor Summary

Constructors

Constructor and Description
CPNPattern()

Method Summary

Modifier and Type	Method and Description
void	addHiddenLayer(int count) Not used, will throw an error.
void	clear() Clear any parameters that were set.
MLMethod	generate() Generate the network.
void	setActivationFunction(ActivationFunction activation) This method will throw an error.
void	setInputNeurons(int count) Set the number of input neurons.
void	setInstarCount(int instarCount) Set the number of neurons in the instar layer.
void	setOutputNeurons(int count) Set the number of output neurons.
void	setOutstarCount(int outstarCount) Set the number of neurons in the outstar level, this level is mapped to the "output" level.

Methods inherited from class java.lang.Object

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

Field Detail

TAG_INSTAR

public static final java.lang.String TAG_INSTAR

The tag for the INSTAR layer.

See Also:

Constant Field Values

TAG_OUTSTAR

public static final java.lang.String TAG_OUTSTAR

The tag for the OUTSTAR layer.

See Also:

Constant Field Values

Constructor Detail

CPNPattern

public CPNPattern()

Method Detail

addHiddenLayer

public void addHiddenLayer(int count)

Not used, will throw an error. CPN networks already have a predefined hidden layer called the instar layer.

Specified by:

addHiddenLayer in interface NeuralNetworkPattern

Parameters:

count - NOT USED

clear

public void clear()

Clear any parameters that were set.

Specified by:

clear in interface NeuralNetworkPattern

generate

public MLMethod generate()

Generate the network.

Specified by:

generate in interface NeuralNetworkPattern

Returns:

The generated network.

setActivationFunction

public void setActivationFunction(ActivationFunction activation)

This method will throw an error. The CPN network uses predefined activation functions.

Specified by:

setActivationFunction in interface NeuralNetworkPattern

Parameters:

activation - NOT USED

setInputNeurons

public void setInputNeurons(int count)

Set the number of input neurons.

Specified by:

setInputNeurons in interface NeuralNetworkPattern

Parameters:

count - The input neuron count.

setInstarCount

public void setInstarCount(int instarCount)

Set the number of neurons in the instar layer. This level is essentially a hidden layer.

Parameters:

instarCount - The instar count.

setOutputNeurons

public void setOutputNeurons(int count)

Set the number of output neurons. Calling this method maps to setting the number of neurons in the outstar layer.

Specified by:

setOutputNeurons in interface NeuralNetworkPattern

Parameters:

count - The count.

setOutstarCount

public void setOutstarCount(int outstarCount)

Set the number of neurons in the outstar level, this level is mapped to the "output" level.

Parameters:

outstarCount - The outstar count.