org.encog.neural.networks.training.strategy

Class SmartMomentum

java.lang.Object

org.encog.neural.networks.training.strategy.SmartMomentum

All Implemented Interfaces:

Strategy

public class SmartMomentum
extends Object
implements Strategy

Attempt to automatically set a momentum in a training algorithm that supports momentum.

Author:

jheaton

Field Summary

Fields

Modifier and Type	Field and Description
static double	MAX_MOMENTUM The maximum value that momentum can go to.
static double	MIN_IMPROVEMENT The minimum improvement to adjust momentum.
static double	MOMENTUM_CYCLES How many cycles to accept before adjusting momentum.
static double	MOMENTUM_INCREASE How much to increase momentum by.
static double	START_MOMENTUM The starting momentum.

Constructor Summary

Constructors

Constructor and Description
SmartMomentum()

Method Summary

Methods

Modifier and Type	Method and Description
void	init(MLTrain train) Initialize this strategy.
void	postIteration() Called just after a training iteration.
void	preIteration() Called just before a training iteration.

Methods inherited from class java.lang.Object

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

Field Detail

MIN_IMPROVEMENT

public static final double MIN_IMPROVEMENT

The minimum improvement to adjust momentum.

See Also:

Constant Field Values

MAX_MOMENTUM

public static final double MAX_MOMENTUM

The maximum value that momentum can go to.

See Also:

Constant Field Values

START_MOMENTUM

public static final double START_MOMENTUM

The starting momentum.

See Also:

Constant Field Values

MOMENTUM_INCREASE

public static final double MOMENTUM_INCREASE

How much to increase momentum by.

See Also:

Constant Field Values

MOMENTUM_CYCLES

public static final double MOMENTUM_CYCLES

How many cycles to accept before adjusting momentum.

See Also:

Constant Field Values

Constructor Detail

SmartMomentum

public SmartMomentum()

Method Detail

init

public void init(MLTrain train)

Initialize this strategy.

Specified by:

init in interface Strategy

Parameters:

train - The training algorithm.

postIteration

public void postIteration()

Called just after a training iteration.

Specified by:

postIteration in interface Strategy

preIteration

public void preIteration()

Called just before a training iteration.

Specified by:

preIteration in interface Strategy