org.encog.neural.networks.training.propagation.resilient
Class RPROPConst

java.lang.Object
  org.encog.neural.networks.training.propagation.resilient.RPROPConst

public final class RPROPConst
extends Object

Constants used for Resilient Propagation (RPROP) training.

Field Summary

static double	DEFAULT_INITIAL_UPDATE The starting update for a delta.
static double	DEFAULT_MAX_STEP The maximum amount a delta can reach.
static double	DEFAULT_ZERO_TOLERANCE The default zero tolerance.
static double	DELTA_MIN The minimum delta value for a weight matrix value.
static double	NEGATIVE_ETA The NEGATIVE ETA value.
static double	POSITIVE_ETA The POSITIVE ETA value.

Method Summary

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_ZERO_TOLERANCE

public static final double DEFAULT_ZERO_TOLERANCE

The default zero tolerance.

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Constant Field Values

POSITIVE_ETA

public static final double POSITIVE_ETA

The POSITIVE ETA value. This is specified by the resilient propagation algorithm. This is the percentage by which the deltas are increased by if the partial derivative is greater than zero.

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Constant Field Values

NEGATIVE_ETA

public static final double NEGATIVE_ETA

The NEGATIVE ETA value. This is specified by the resilient propagation algorithm. This is the percentage by which the deltas are increased by if the partial derivative is less than zero.

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Constant Field Values

DELTA_MIN

public static final double DELTA_MIN

The minimum delta value for a weight matrix value.

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Constant Field Values

DEFAULT_INITIAL_UPDATE

public static final double DEFAULT_INITIAL_UPDATE

The starting update for a delta.

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Constant Field Values

DEFAULT_MAX_STEP

public static final double DEFAULT_MAX_STEP

The maximum amount a delta can reach.

See Also:

Constant Field Values