org.joone.engine

Class LinearLayer

java.lang.Object

org.joone.engine.Layer

org.joone.engine.SimpleLayer

org.joone.engine.LinearLayer

All Implemented Interfaces:

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

Direct Known Subclasses:

SoftmaxLayer

public class LinearLayer
extends SimpleLayer

The output of a linear layer neuron is the sum of the weighted input values, scaled by the beta parameter. No transfer function is applied to limit the output value

See Also:

Serialized Form

Field Summary

Fields inherited from class org.joone.engine.Layer

STOP_FLAG

Constructor Summary

Constructors

Constructor and Description
LinearLayer() The constructor
LinearLayer(java.lang.String ElemName) The constructor

Method Summary

Modifier and Type	Method and Description
void	backward(double[] pattern) Reverse transfer function of the component.
void	forward(double[] pattern) Transfer function to recall a result on a trained net
double	getBeta() Returns the value of the beta parameter
java.util.Collection	Inspections() It doesn't make sense to return biases for this layer
void	setBeta(double newBeta) Sets the beta value

Methods inherited from class org.joone.engine.SimpleLayer

getLearningRate, getLrate, getMomentum, setLrate, setMomentum, setMonitor

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, setOutputSynapses, setRows, start, stop, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearLayer

public LinearLayer()

The constructor

LinearLayer

public LinearLayer(java.lang.String ElemName)

The constructor

Parameters:

ElemName - The name of the Layer

Method Detail

backward

public void backward(double[] pattern)

Description copied from class: Layer

Reverse transfer function of the component.

Parameters:

pattern - input pattern on which to apply the transfer function

forward

public void forward(double[] pattern)

Description copied from class: Layer

Transfer function to recall a result on a trained net

Parameters:

pattern - input pattern to which to apply the rtransfer function

getBeta

public double getBeta()

Returns the value of the beta parameter

Returns:

double - The beta parameter

setBeta

public void setBeta(double newBeta)

Sets the beta value

Parameters:

newBeta - double

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