org.encog.neural.art

Class ART

java.lang.Object

org.encog.ml.BasicML

org.encog.neural.art.ART

All Implemented Interfaces:

java.io.Serializable, MLMethod, MLProperties

Direct Known Subclasses:

ART1

public class ART
extends BasicML

Adaptive Resonance Theory (ART) is a form of neural network developed by Stephen Grossberg and Gail Carpenter. There are several versions of the ART neural network, which are numbered ART-1, ART-2 and ART-3. The ART neural network is trained using either a supervised or unsupervised learning algorithm, depending on the version of ART being used. ART neural networks are used for pattern recognition and prediction. Plasticity is an important part for all Adaptive Resonance Theory (ART) neural networks. Unlike most neural networks, ART networks do not have a distinct training and usage stage. The ART network will learn as it is used.

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Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	PROPERTY_A1 Neural network property, the A1 parameter.
static java.lang.String	PROPERTY_B1 Neural network property, the B1 parameter.
static java.lang.String	PROPERTY_C1 Neural network property, the C1 parameter.
static java.lang.String	PROPERTY_D1 Neural network property, the D1 parameter.
static java.lang.String	PROPERTY_L Neural network property, the L parameter.
static java.lang.String	PROPERTY_NO_WINNER Neural network property for no winner.
static java.lang.String	PROPERTY_VIGILANCE Neural network property, the vigilance parameter.

Constructor Summary

Constructors

Constructor and Description
ART()

Method Summary

Modifier and Type	Method and Description
void	updateProperties() Update any objeccts when a property changes.

Methods inherited from class org.encog.ml.BasicML

getProperties, getPropertyDouble, getPropertyLong, getPropertyString, setProperty, setProperty, setProperty

Methods inherited from class java.lang.Object

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

Field Detail

PROPERTY_A1

public static final java.lang.String PROPERTY_A1

Neural network property, the A1 parameter.

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Constant Field Values

PROPERTY_B1

public static final java.lang.String PROPERTY_B1

Neural network property, the B1 parameter.

See Also:

Constant Field Values

PROPERTY_C1

public static final java.lang.String PROPERTY_C1

Neural network property, the C1 parameter.

See Also:

Constant Field Values

PROPERTY_D1

public static final java.lang.String PROPERTY_D1

Neural network property, the D1 parameter.

See Also:

Constant Field Values

PROPERTY_L

public static final java.lang.String PROPERTY_L

Neural network property, the L parameter.

See Also:

Constant Field Values

PROPERTY_VIGILANCE

public static final java.lang.String PROPERTY_VIGILANCE

Neural network property, the vigilance parameter.

See Also:

Constant Field Values

PROPERTY_NO_WINNER

public static final java.lang.String PROPERTY_NO_WINNER

Neural network property for no winner.

See Also:

Constant Field Values

Constructor Detail

ART

public ART()

Method Detail

updateProperties

public void updateProperties()

Update any objeccts when a property changes.

Specified by:

updateProperties in interface MLProperties

Specified by:

updateProperties in class BasicML