org.encog.neural.neat

Enum NEATNeuronType

java.lang.Object

java.lang.Enum<NEATNeuronType>

org.encog.neural.neat.NEATNeuronType

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<NEATNeuronType>

public enum NEATNeuronType
extends java.lang.Enum<NEATNeuronType>

The types of neurons supported by NEAT. NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks. It was developed by Ken Stanley while at The University of Texas at Austin. ----------------------------------------------------------------------------- http://www.cs.ucf.edu/~kstanley/ Encog's NEAT implementation was drawn from the following three Journal Articles. For more complete BibTeX sources, see NEATNetwork.java. Evolving Neural Networks Through Augmenting Topologies Generating Large-Scale Neural Networks Through Discovering Geometric Regularities Automatic feature selection in neuroevolution

Enum Constant Summary

Enum Constants

Enum Constant and Description
Bias Each NEAT network has one bias neuron.
Hidden Hidden neurons are between the input and output.
Input Input neurons receive input, they are never altered during evolution.
None Not really a neuron type, as you will never see one of these in the network.
Output Output neurons provide output, they are never altered during evolution.

Method Summary

Modifier and Type	Method and Description
static NEATNeuronType	valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static NEATNeuronType[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

compareTo, equals, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

Bias

public static final NEATNeuronType Bias

Each NEAT network has one bias neuron.

Hidden

public static final NEATNeuronType Hidden

Hidden neurons are between the input and output.

Input

public static final NEATNeuronType Input

Input neurons receive input, they are never altered during evolution.

None

public static final NEATNeuronType None

Not really a neuron type, as you will never see one of these in the network. However, it is used to mark an innovation as not affecting a neuron type, but rather a link.

Output

public static final NEATNeuronType Output

Output neurons provide output, they are never altered during evolution.

Method Detail

values

public static NEATNeuronType[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (NEATNeuronType c : NEATNeuronType.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static NEATNeuronType valueOf(java.lang.String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

java.lang.IllegalArgumentException - if this enum type has no constant with the specified name

java.lang.NullPointerException - if the argument is null