org.encog.neural.pattern
Class PNNPattern

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

All Implemented Interfaces:

NeuralNetworkPattern

public class PNNPattern
extends Object
implements NeuralNetworkPattern

Pattern to create a PNN.

Constructor Summary

PNNPattern()

Method Summary

void	addHiddenLayer(int count) Add a hidden layer.
void	clear() Clear out any hidden neurons.
MLMethod	generate() Generate the RSOM network.
int	getInputNeurons()
PNNKernelType	getKernel()
PNNOutputMode	getOutmodel()
int	getOutputNeurons()
void	setActivationFunction(ActivationFunction activation) Set the activation function.
void	setInputNeurons(int count) Set the input neuron count.
void	setKernel(PNNKernelType kernel) Set the kernel type.
void	setOutmodel(PNNOutputMode outmodel) Set the output model.
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

PNNPattern

public PNNPattern()

Method Detail

addHiddenLayer

public final void addHiddenLayer(int count)

Add a hidden layer. PNN 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.

getInputNeurons

public final int getInputNeurons()

Returns:

The number of input neurons.

getKernel

public final PNNKernelType getKernel()

Returns:

The kernel.

getOutmodel

public final PNNOutputMode getOutmodel()

Returns:

The output model.

getOutputNeurons

public final int getOutputNeurons()

Returns:

The number of output neurons.

setActivationFunction

public final void setActivationFunction(ActivationFunction activation)

Set the activation function. A PNN 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.

setKernel

public final void setKernel(PNNKernelType kernel)

Set the kernel type.

Parameters:

kernel - The kernel type.

setOutmodel

public final void setOutmodel(PNNOutputMode outmodel)

Set the output model.

Parameters:

outmodel - The output model.

setOutputNeurons

public final void setOutputNeurons(int count)

Set the output neuron count.

Specified by:

setOutputNeurons in interface NeuralNetworkPattern

Parameters:

count - The number of neurons.