org.joone.engine
Class SimpleLayer

java.lang.Object
  org.joone.engine.Layer
      org.joone.engine.SimpleLayer

All Implemented Interfaces:

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

Direct Known Subclasses:

BiasedLinearLayer, ContextLayer, GaussianLayer, GaussLayer, LinearLayer, LogarithmicLayer, SigmoidLayer, SineLayer, TanhLayer, WTALayer

public abstract class SimpleLayer
extends Layer

This abstract class represents layers that are composed by neurons that implement some transfer function.

See Also:

Serialized Form

Field Summary

Fields inherited from class org.joone.engine.Layer

bias, gradientInps, gradientOuts, inps, inputPatternListeners, learnable, learning, m_batch, monitor, myLearner, outputPatternListeners, outs, running, step, STOP_FLAG

Constructor Summary

SimpleLayer()
The constructor

SimpleLayer(java.lang.String ElemName)
The constructor

Method Summary

protected void	backward(double[] parm1) Reverse transfer function of the component.
double	getLearningRate() Returns the value of the learning rate of the Layer
double	getLrate() Needed for Save As XML
double	getMomentum() Returns the value of the momentum of the Layer
protected void	setDimensions() Sets the dimension of the layer.
void	setLrate(double newLrate) Needed for Save As XML
void	setMomentum(double newMomentum) Needed for Save As XML
void	setMonitor(Monitor parm1) Sets the monitor object

Methods inherited from class org.joone.engine.Layer

addInputSynapse, addNoise, addOutputSynapse, adjustSizeToFwdPattern, adjustSizeToRevPattern, check, checkInputEnabled, checkInputs, checkOutputs, copyInto, finalize, fireFwdGet, fireFwdPut, fireRevGet, fireRevPut, forward, fwdRun, getAllInputs, getAllOutputs, getBias, getDefaultState, getDerivative, getDimension, getLastGradientInps, getLastGradientOuts, getLastInputs, getLastOutputs, getLayerName, getLearner, getMaximumState, getMinimumState, getMonitor, getRows, getThreadMonitor, hasStepCounter, init, initLearner, InspectableTitle, Inspections, isInputLayer, isOutputLayer, isRunning, join, randomize, randomizeBias, randomizeWeights, removeAllInputs, removeAllOutputs, removeInputSynapse, removeListener, removeOutputSynapse, resetInputListeners, revRun, run, setAllInputs, setAllOutputs, setBias, setConnDimensions, setInputDimension, setInputSynapses, setLastInputs, setLastOutputs, setLayerName, setOutputDimension, setOutputSynapses, setRows, start, stop, sumBackInput, sumInput, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

SimpleLayer

public SimpleLayer()

The constructor

SimpleLayer

public SimpleLayer(java.lang.String ElemName)

The constructor

Parameters:

ElemName - The name of the Layer

Method Detail

backward

protected void backward(double[] parm1)

Description copied from class: Layer

Reverse transfer function of the component.

Specified by:

backward in class Layer

Parameters:

parm1 - input pattern on which to apply the transfer function

getLearningRate

public double getLearningRate()

Returns the value of the learning rate of the Layer

Returns:

double

getMomentum

public double getMomentum()

Returns the value of the momentum of the Layer

Returns:

double

setDimensions

protected void setDimensions()

Description copied from class: Layer

Sets the dimension of the layer. Override to define how the internal buffers must be sized.

Specified by:

setDimensions in class Layer

setMonitor

public void setMonitor(Monitor parm1)

Description copied from class: Layer

Sets the monitor object

Specified by:

setMonitor in interface NeuralLayer

Overrides:

setMonitor in class Layer

Parameters:

parm1 - The Monitor

getLrate

public double getLrate()

Needed for Save As XML

setLrate

public void setLrate(double newLrate)

Needed for Save As XML

setMomentum

public void setMomentum(double newMomentum)

Needed for Save As XML