org.joone.engine

Class RbfGaussianLayer

java.lang.Object

org.joone.engine.Layer

org.joone.engine.RbfLayer

org.joone.engine.RbfGaussianLayer

All Implemented Interfaces:

java.io.Serializable, java.lang.Runnable, Learnable, LearnableLayer, NeuralLayer, Inspectable

public class RbfGaussianLayer
extends RbfLayer

This class implements the nonlinear layer in Radial Basis Function (RBF) networks using Gaussian functions.

See Also:

Serialized Form

Field Summary

Fields inherited from class org.joone.engine.Layer

STOP_FLAG

Constructor Summary

Constructors

Constructor and Description
RbfGaussianLayer() Creates a new instance of RbfGaussianLayer

Method Summary

Modifier and Type	Method and Description
RbfGaussianParameters[]	getGaussianParameters() Gets the parameters that define the Gaussian RBFs.
java.util.Collection	Inspections() It doesn't make sense to return biases for this layer
void	setGaussianParameters(RbfGaussianParameters[] aGaussianParameters) Sets the parameters that define the Gaussian RBFs.
void	useRandomCenter(StreamInputSynapse aStreamInput) Sets the Gaussian parameters to centers chosen randomly from the input/training data.

Methods inherited from class org.joone.engine.Layer

addInputSynapse, addNoise, addOutputSynapse, check, copyInto, finalize, fwdRun, getAllInputs, getAllOutputs, getBias, getDimension, getLastOutputs, getLayerName, getLearner, getMonitor, getRows, hasStepCounter, init, initLearner, InspectableTitle, isInputLayer, isOutputLayer, isRunning, join, randomize, removeAllInputs, removeAllOutputs, removeInputSynapse, removeOutputSynapse, revRun, run, setAllInputs, setAllOutputs, setBias, setInputSynapses, setLayerName, setMonitor, setOutputSynapses, setRows, start, stop, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

RbfGaussianLayer

public RbfGaussianLayer()

Creates a new instance of RbfGaussianLayer

Method Detail

getGaussianParameters

public RbfGaussianParameters[] getGaussianParameters()

Gets the parameters that define the Gaussian RBFs.

Returns:

the Gaussian RBFs parameters.

setGaussianParameters

public void setGaussianParameters(RbfGaussianParameters[] aGaussianParameters)

Sets the parameters that define the Gaussian RBFs.

Parameters:

aGaussianParameters - The new parameters for the RBFs.

useRandomCenter

public void useRandomCenter(StreamInputSynapse aStreamInput)

Sets the Gaussian parameters to centers chosen randomly from the input/training data.

Parameters:

aStreamInput - the synapse providing the input, from where we will select random centers.

Inspections

public java.util.Collection Inspections()

It doesn't make sense to return biases for this layer

Specified by:

Inspections in interface Inspectable

Overrides:

Inspections in class Layer

Returns:

null

See Also:

org.joone.Inspection