boone.training

Class RpropTrainer

java.lang.Object

boone.Trainer

boone.training.BackpropTrainer

boone.training.RpropTrainer

All Implemented Interfaces:

Storable, java.lang.Cloneable

public class RpropTrainer
extends BackpropTrainer

The Resilient Back-propagation trainer. Instead of directly using the gradient information, a specific weight update value is calculated for each weight (and bias) based on the two previous gradients of that weight. Hence, the update values, i.e., weight changes, adapt to the training progress.

Version:

$Id$

Author:

August Mayer, Helmut A. Mayer

Field Summary

Fields

Modifier and Type	Field and Description
protected double	maxUpdateValue The maximal update value (default 50.0).
protected double	minUpdateValue The minimal update value (default 1.0E-6).
protected double	rateDecFactor The negative update value change (default 0.5).
protected double	rateIncFactor The positive update value change (default 1.2).

Fields inherited from class boone.Trainer

currentEpoch, epochs, learnRate, net, shuffle, stepMode, testData, trainingData, trainingSignalGenerator

Constructor Summary

Constructors

Constructor and Description
RpropTrainer() Creates an Rprop trainer with a learn rate (initial update value) of 0.1.

Method Summary

Modifier and Type	Method and Description
protected double	calcAdaptation(BrainPart part) Calculates the adaptation value according to Rprop.
void	fromXML(org.jdom2.Element element) Reads attributes from XML.
double	getMaxUpdateValue()
double	getMinUpdateValue()
double	getRateDecFactor()
double	getRateIncFactor()
protected void	reset() Resets all neurons and links of the net for a fresh training procedure.
void	setMaxUpdateValue(double maxUpdateValue)
void	setMinUpdateValue(double minUpdateValue)
void	setRateDecFactor(double rateDecFactor)
void	setRateIncFactor(double rateIncFactor)
org.jdom2.Element	toXML(org.jdom2.Element element) Writes specific elements to XML tree.

Methods inherited from class boone.training.BackpropTrainer

endPattern, endTrain, train, train, train

Methods inherited from class boone.Trainer

clone, endBatch, getBatchSize, getEpochs, getLearnRate, getNetwork, getRank, getTestData, getTrainingData, getTrainingSignalGenerator, getWinningNeuron, setBatchSize, setEpochs, setLearnRate, setNetwork, setShuffle, setStepMode, setTestData, setTrainingData, setTrainingSignalGenerator, test, test, toString, train, trainPattern, updateLinks, updateNeurons

Methods inherited from class java.lang.Object

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

Field Detail

rateIncFactor

protected double rateIncFactor

The positive update value change (default 1.2).

rateDecFactor

protected double rateDecFactor

The negative update value change (default 0.5).

maxUpdateValue

protected double maxUpdateValue

The maximal update value (default 50.0).

minUpdateValue

protected double minUpdateValue

The minimal update value (default 1.0E-6).

Constructor Detail

RpropTrainer

public RpropTrainer()

Creates an Rprop trainer with a learn rate (initial update value) of 0.1.

Method Detail

reset

protected void reset()

Resets all neurons and links of the net for a fresh training procedure.

Overrides:

reset in class BackpropTrainer

calcAdaptation

protected double calcAdaptation(BrainPart part)

Calculates the adaptation value according to Rprop.

Overrides:

calcAdaptation in class BackpropTrainer

Parameters:

part - the brain part to be adapted

Returns:

the adaptation value

getRateIncFactor

public double getRateIncFactor()

Returns:

Value of property rateIncFactor.

setRateIncFactor

public void setRateIncFactor(double rateIncFactor)

Parameters:

rateIncFactor - New value of property rateIncFactor.

getRateDecFactor

public double getRateDecFactor()

Returns:

Value of property rateDecFactor.

setRateDecFactor

public void setRateDecFactor(double rateDecFactor)

Parameters:

rateDecFactor - New value of property rateDecFactor.

getMaxUpdateValue

public double getMaxUpdateValue()

Returns:

Value of property maxUpdateValue.

setMaxUpdateValue

public void setMaxUpdateValue(double maxUpdateValue)

Parameters:

maxUpdateValue - New value of property maxUpdateValue.

getMinUpdateValue

public double getMinUpdateValue()

Returns:

Value of property minUpdateValue.

setMinUpdateValue

public void setMinUpdateValue(double minUpdateValue)

Parameters:

minUpdateValue - New value of property minUpdateValue.

toXML

public org.jdom2.Element toXML(org.jdom2.Element element)

Writes specific elements to XML tree.

Specified by:

toXML in interface Storable

Overrides:

toXML in class Trainer

Parameters:

element - the parent element

Returns:

the trainer element

fromXML

public void fromXML(org.jdom2.Element element)

Reads attributes from XML.

Specified by:

fromXML in interface Storable

Overrides:

fromXML in class Trainer

Parameters:

element - a JDOM element