org.joone.engine.extenders

Class UpdateWeightExtender

java.lang.Object

org.joone.engine.extenders.LearnerExtender

org.joone.engine.extenders.UpdateWeightExtender

Direct Known Subclasses:

BatchModeExtender, OnlineModeExtender

public abstract class UpdateWeightExtender
extends LearnerExtender

This abstract class describes the methods needed for a update weight extender, that is, a class that updates weights (storing) according to some algorithm (e.g. batch mode).

Author:

Boris Jansen

Constructor Summary

Constructors

Constructor and Description
UpdateWeightExtender() Creates a new instance of UpdateWeightExtender

Method Summary

Methods

Modifier and Type	Method and Description
abstract boolean	storeWeightsBiases() Checks if the weights or biases will be stored this cycle.
abstract void	updateBias(int i, double aDelta) Updates a bias with the calculated delta value.
abstract void	updateWeight(int j, int k, double aDelta) Updates a weight with the calculated delta value.

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

getLearner, isEnabled, postBiasUpdate, postWeightUpdate, preBiasUpdate, preWeightUpdate, setEnabled, setLearner

Methods inherited from class java.lang.Object

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

Constructor Detail

UpdateWeightExtender

public UpdateWeightExtender()

Creates a new instance of UpdateWeightExtender

Method Detail

updateBias

public abstract void updateBias(int i,
              double aDelta)

Updates a bias with the calculated delta value.

Parameters:

i - the index of the bias to update.

aDelta - the calculated delta value.

updateWeight

public abstract void updateWeight(int j,
                int k,
                double aDelta)

Updates a weight with the calculated delta value.

Parameters:

j - the input index of the weight to update.

k - the output index of the weight to update.

aDelta - the calculated delta value.

storeWeightsBiases

public abstract boolean storeWeightsBiases()

Checks if the weights or biases will be stored this cycle.

Returns:

true if the weights or biases will be stored this cycle, false otherwise.