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 java.lang.Object
implements Strategy

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

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

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