public class SimulatedAnnealingExtender extends DeltaRuleExtender
Constructor and Description |
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SimulatedAnnealingExtender()
Creates a new instance of SimulatedAnnealingExtender
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Modifier and Type | Method and Description |
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double |
getDelta(double[] currentGradientOuts,
int j,
double aPreviousDelta)
Computes the delta value for a bias.
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double |
getDelta(double[] currentInps,
int j,
double[] currentPattern,
int k,
double aPreviousDelta)
Computes the delta value for a weight.
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double |
getK()
Gets the noise decay constant.
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double |
getN()
Gets the constant controlling the initial noise.
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protected double |
getRandom()
Gets a random value between the random boundary.
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double |
getRandomBoundary()
Gets the random number boundary.
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void |
postBiasUpdate(double[] currentGradientOuts)
Gives extenders a change to do some post-computing after the
biases are updated.
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void |
postWeightUpdate(double[] currentPattern,
double[] currentInps)
Gives extenders a change to do some post-computing after the
weights are updated.
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void |
preBiasUpdate(double[] currentGradientOuts)
Gives extenders a change to do some pre-computing before the
biases are updated.
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void |
preWeightUpdate(double[] currentPattern,
double[] currentInps)
Gives extenders a change to do some pre-computing before the
weights are updated.
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void |
setK(double aK)
Sets the noise decay constant.
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void |
setN(double aN)
Sets the constant controlling the initial noise.
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void |
setRandomBoundary(double aBoundary)
Sets the noise decay constant.
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getLearner, isEnabled, setEnabled, setLearner
public SimulatedAnnealingExtender()
public double getDelta(double[] currentGradientOuts, int j, double aPreviousDelta)
DeltaRuleExtender
getDelta
in class DeltaRuleExtender
currentGradientOuts
- the back propagated gradients.j
- the index of the bias.aPreviousDelta
- a delta value calculated by a previous delta extender.public double getDelta(double[] currentInps, int j, double[] currentPattern, int k, double aPreviousDelta)
DeltaRuleExtender
getDelta
in class DeltaRuleExtender
currentInps
- the forwarded input.j
- the input index of the weight.currentPattern
- the back propagated gradients.k
- the output index of the weight.aPreviousDelta
- a delta value calculated by a previous delta extender.public void postBiasUpdate(double[] currentGradientOuts)
LearnerExtender
postBiasUpdate
in class LearnerExtender
currentGradientOuts
- the back propagated gradients.public void postWeightUpdate(double[] currentPattern, double[] currentInps)
LearnerExtender
postWeightUpdate
in class LearnerExtender
currentPattern
- the back propagated gradients.currentInps
- the forwarded input.public void preBiasUpdate(double[] currentGradientOuts)
LearnerExtender
preBiasUpdate
in class LearnerExtender
currentGradientOuts
- the back propagated gradients.public void preWeightUpdate(double[] currentPattern, double[] currentInps)
LearnerExtender
preWeightUpdate
in class LearnerExtender
currentPattern
- the back propagated gradients.currentInps
- the forwarded input.public double getN()
public void setN(double aN)
aN
- the constant controlling the initial noise.public double getK()
public void setK(double aK)
aK
- the noise decay constant.public double getRandomBoundary()
public void setRandomBoundary(double aBoundary)
aK
- the noise decay constant.protected double getRandom()
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