org.encog.neural.flat.train.prop
Class TrainFlatNetworkBackPropagation

java.lang.Object
  org.encog.neural.flat.train.prop.TrainFlatNetworkProp
      org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation

All Implemented Interfaces:

TrainFlatNetwork

public class TrainFlatNetworkBackPropagation
extends TrainFlatNetworkProp

Train a flat network, using backpropagation.

Field Summary

Fields inherited from class org.encog.neural.flat.train.prop.TrainFlatNetworkProp

currentError, gradients, lastError, network

Constructor Summary

TrainFlatNetworkBackPropagation(FlatNetwork network, MLDataSet training, double theLearningRate, double theMomentum)
Construct a backprop trainer for flat networks.

Method Summary

double[]	getLastDelta()
double	getLearningRate()
double	getMomentum()
void	initOthers() Perform training method specific init.
void	setLastDelta(double[] ds) Set the last delta.
void	setLearningRate(double rate) Set the learning rate.
void	setMomentum(double rate) Set the momentum.
double	updateWeight(double[] gradients, double[] lastGradient, int index) Update a weight.

Methods inherited from class org.encog.neural.flat.train.prop.TrainFlatNetworkProp

calculateGradients, finishTraining, fixFlatSpot, getError, getErrorFunction, getIteration, getLastGradient, getNetwork, getNumThreads, getTraining, iteration, iteration, learn, learnLimited, report, setErrorFunction, setIteration, setNumThreads

Methods inherited from class java.lang.Object

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

Constructor Detail

TrainFlatNetworkBackPropagation

public TrainFlatNetworkBackPropagation(FlatNetwork network,
                                       MLDataSet training,
                                       double theLearningRate,
                                       double theMomentum)

Construct a backprop trainer for flat networks.

Parameters:

network - The network to train.

training - The training data.

theLearningRate - The learning rate.

theMomentum - The momentum.

Method Detail

getLastDelta

public final double[] getLastDelta()

Returns:

The last deltas.

getLearningRate

public final double getLearningRate()

Returns:

the learningRate

getMomentum

public final double getMomentum()

Returns:

the momentum

setLastDelta

public final void setLastDelta(double[] ds)

Set the last delta.

Parameters:

ds - The last delta.

setLearningRate

public final void setLearningRate(double rate)

Set the learning rate.

Parameters:

rate - The learning rate.

setMomentum

public final void setMomentum(double rate)

Set the momentum.

Parameters:

rate - The momentum.

updateWeight

public final double updateWeight(double[] gradients,
                                 double[] lastGradient,
                                 int index)

Update a weight.

Specified by:

updateWeight in class TrainFlatNetworkProp

Parameters:

gradients - The gradients.

lastGradient - The last gradients.

index - The index.

Returns:

The weight delta.

initOthers

public void initOthers()

Perform training method specific init.

Specified by:

initOthers in class TrainFlatNetworkProp