org.encog.neural.networks.layers
Class RadialBasisFunctionLayer

java.lang.Object
  org.encog.neural.networks.layers.BasicLayer
      org.encog.neural.networks.layers.RadialBasisFunctionLayer

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<Layer>, Layer, EncogPersistedObject

public class RadialBasisFunctionLayer
extends BasicLayer

This layer type makes use of several radial basis function to scale the output from this layer. Each RBF can have a different center, peak, and width. Proper selection of these values will greatly impact the success of the layer. Currently, Encog provides no automated way of determining these values. There is one RBF per neuron. Radial basis function layers have neither thresholds nor a regular activation function. Calling any methods that deal with the activation function or thresholds will result in an error.

Author:

jheaton

See Also:

Serialized Form

Constructor Summary

RadialBasisFunctionLayer()
Default constructor, mainly so the workbench can easily create a default layer.

RadialBasisFunctionLayer(int neuronCount)
Construct a radial basis function layer.

Method Summary

NeuralData	compute(NeuralData pattern) Compute the values before sending output to the next layer.
Persistor	createPersistor() Create a persistor for this layer.
RadialBasisFunction[]	getRadialBasisFunction()
void	randomizeGaussianCentersAndWidths(double min, double max) Set the gausian components to random values.
void	setRadialBasisFunction(RadialBasisFunction[] newRBF) Set the RBF array used by this layer.

Methods inherited from class org.encog.neural.networks.layers.BasicLayer

addNext, addNext, addSynapse, compareTo, getActivationFunction, getDescription, getID, getName, getNetwork, getNeuronCount, getNext, getNextLayers, getThreshold, getThreshold, getX, getY, hasThreshold, isConnectedTo, isSelfConnected, process, recur, setActivationFunction, setDescription, setID, setName, setNetwork, setNeuronCount, setThreshold, setThreshold, setX, setY, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

RadialBasisFunctionLayer

public RadialBasisFunctionLayer()

Default constructor, mainly so the workbench can easily create a default layer.

RadialBasisFunctionLayer

public RadialBasisFunctionLayer(int neuronCount)

Construct a radial basis function layer.

Parameters:

neuronCount - The neuron count.

Method Detail

compute

public NeuralData compute(NeuralData pattern)

Compute the values before sending output to the next layer. This function allows the activation functions to be called.

Specified by:

compute in interface Layer

Overrides:

compute in class BasicLayer

Parameters:

pattern - The incoming Project.

Returns:

The output from this layer.

createPersistor

public Persistor createPersistor()

Create a persistor for this layer.

Specified by:

createPersistor in interface EncogPersistedObject

Overrides:

createPersistor in class BasicLayer

Returns:

The new persistor.

getRadialBasisFunction

public RadialBasisFunction[] getRadialBasisFunction()

Returns:

An array of radial basis functions.

randomizeGaussianCentersAndWidths

public void randomizeGaussianCentersAndWidths(double min,
                                              double max)

Set the gausian components to random values.

Parameters:

min - The minimum value for the centers, widths and peaks.

max - The maximum value for the centers, widths and peaks.

setRadialBasisFunction

public void setRadialBasisFunction(RadialBasisFunction[] newRBF)

Set the RBF array used by this layer.

Parameters:

newRBF - The new RBF array.