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org.joone.engine.extenders
Class SimulatedAnnealingExtender  

java.lang.Object
  org.joone.engine.extenders.LearnerExtender
      org.joone.engine.extenders.DeltaRuleExtender
          org.joone.engine.extenders.SimulatedAnnealingExtender

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public class SimulatedAnnealingExtender

extends DeltaRuleExtender

Simulated annealing (SA) refers to the process in which random or thermal noise in a system is systematically decreased over time so as to enhance the system's response. Basically the change of weights and biases in SA is defined as: dW = dw + (n)(r)(2^-kt), where dw is the weight / bias change produced by standard back propagation, n is a constant controlling the initial intensity of the noise, k is the decay constant,t is the generation counter and r is a random number.

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Field Summary
private  double	theBoundary           The random number boundary.
private  double	theK           The noise decay constant.
private  double	theN           Constant controlling the initial intensity of the noise.

 

Fields inherited from class org.joone.engine.extenders.LearnerExtender

 

Constructor Summary

SimulatedAnnealingExtender()           Creates a new instance of SimulatedAnnealingExtender

 

Method Summary
double	getDelta(double[] currentGradientOuts, int j, double aPreviousDelta)           Computes the delta value for a bias.
double	getDelta(double[] currentInps, int j, double[] currentPattern, int k, double aPreviousDelta)           Computes the delta value for a weight.
double	getK()           Gets the noise decay constant.
double	getN()           Gets the constant controlling the initial noise.
protected  double	getRandom()           Gets a random value between the random boundary.
double	getRandomBoundary()           Gets the random number boundary.
void	postBiasUpdate(double[] currentGradientOuts)           Gives extenders a change to do some post-computing after the biases are updated.
void	postWeightUpdate(double[] currentPattern, double[] currentInps)           Gives extenders a change to do some post-computing after the weights are updated.
void	preBiasUpdate(double[] currentGradientOuts)           Gives extenders a change to do some pre-computing before the biases are updated.
void	preWeightUpdate(double[] currentPattern, double[] currentInps)           Gives extenders a change to do some pre-computing before the weights are updated.
void	setK(double aK)           Sets the noise decay constant.
void	setN(double aN)           Sets the constant controlling the initial noise.
void	setRandomBoundary(double aBoundary)           Sets the noise decay constant.

 

Methods inherited from class org.joone.engine.extenders.LearnerExtender

getLearner, isEnabled, setEnabled, setLearner

 

Methods inherited from class java.lang.Object

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

 

Field Detail

theN

private double theN

Constant controlling the initial intensity of the noise.

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theK

private double theK

The noise decay constant.

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theBoundary

private double theBoundary

The random number boundary.

Constructor Detail

SimulatedAnnealingExtender

public SimulatedAnnealingExtender()

Creates a new instance of SimulatedAnnealingExtender

Method Detail

getDelta

public double getDelta(double[] currentGradientOuts,
                       int j,
                       double aPreviousDelta)

Description copied from class: DeltaRuleExtender

Computes the delta value for a bias.

Specified by:

getDelta in class DeltaRuleExtender

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getDelta

public double getDelta(double[] currentInps,
                       int j,
                       double[] currentPattern,
                       int k,
                       double aPreviousDelta)

Description copied from class: DeltaRuleExtender

Computes the delta value for a weight.

Specified by:

getDelta in class DeltaRuleExtender

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postBiasUpdate

public void postBiasUpdate(double[] currentGradientOuts)

Description copied from class: LearnerExtender

Gives extenders a change to do some post-computing after the biases are updated.

Specified by:

postBiasUpdate in class LearnerExtender

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postWeightUpdate

public void postWeightUpdate(double[] currentPattern,
                             double[] currentInps)

Description copied from class: LearnerExtender

Gives extenders a change to do some post-computing after the weights are updated.

Specified by:

postWeightUpdate in class LearnerExtender

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preBiasUpdate

public void preBiasUpdate(double[] currentGradientOuts)

Description copied from class: LearnerExtender

Gives extenders a change to do some pre-computing before the biases are updated.

Specified by:

preBiasUpdate in class LearnerExtender

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preWeightUpdate

public void preWeightUpdate(double[] currentPattern,
                            double[] currentInps)

Description copied from class: LearnerExtender

Gives extenders a change to do some pre-computing before the weights are updated.

Specified by:

preWeightUpdate in class LearnerExtender

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getN

public double getN()

Gets the constant controlling the initial noise.

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setN

public void setN(double aN)

Sets the constant controlling the initial noise.

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getK

public double getK()

Gets the noise decay constant.

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setK

public void setK(double aK)

Sets the noise decay constant.

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getRandomBoundary

public double getRandomBoundary()

Gets the random number boundary.

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setRandomBoundary

public void setRandomBoundary(double aBoundary)

Sets the noise decay constant.

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getRandom

protected double getRandom()

Gets a random value between the random boundary.

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Overview  Package   Class  Use  Deprecated  Index
Home >> All >> org >> joone >> engine >> [ extenders overview ]	PREV CLASS  NEXT CLASS
SUMMARY:  JAVADOC |  SOURCE |  DOWNLOAD | NESTED | FIELD | CONSTR | METHOD	DETAIL: FIELD | CONSTR | METHOD

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