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java.lang.Objectjava.lang.Enum<NEATNeuronType>
org.encog.neural.neat.NEATNeuronType
public 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/
| Enum Constant Summary | |
|---|---|
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. |
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None
Not really a neuron type, as you will never see one of these in the network. |
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Output
Output neurons provide output, they are never altered during evolution. |
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| Method Summary | |
|---|---|
static NEATNeuronType |
valueOf(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 |
|---|
clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf |
| Methods inherited from class java.lang.Object |
|---|
getClass, notify, notifyAll, wait, wait, wait |
| Enum Constant Detail |
|---|
public static final NEATNeuronType Bias
public static final NEATNeuronType Hidden
public static final NEATNeuronType Input
public static final NEATNeuronType None
public static final NEATNeuronType Output
| Method Detail |
|---|
public static NEATNeuronType[] values()
for (NEATNeuronType c : NEATNeuronType.values()) System.out.println(c);
public static NEATNeuronType valueOf(String name)
name - the name of the enum constant to be returned.
IllegalArgumentException - if this enum type has no constant
with the specified name
NullPointerException - if the argument is null
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