org.encog.neural.networks.synapse.neat
Class NEATNeuron

java.lang.Object
  org.encog.neural.networks.synapse.neat.NEATNeuron

All Implemented Interfaces:

Serializable

public class NEATNeuron
extends Object
implements Serializable

Implements a NEAT neuron. Neat neurons are of a specific type, defined by the NEATNeuronType enum. Usually NEAT uses a sigmoid activation function. The activation response is used to allow the slope of the sigmoid to be evolved. 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/

See Also:

Serialized Form

Constructor Summary

NEATNeuron()
Default constructor, used for persistance.

NEATNeuron(NEATNeuronType neuronType, long neuronID, double splitY, double splitX, double activationResponse)
Construct a NEAT neuron.

Method Summary

double	getActivationResponse()
List<NEATLink>	getInboundLinks()
long	getNeuronID()
NEATNeuronType	getNeuronType()
double	getOutput()
List<NEATLink>	getOutputboundLinks()
int	getPosX()
int	getPosY()
double	getSplitX()
double	getSplitY()
double	getSumActivation()
void	setOutput(double output) Set the output.
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

NEATNeuron

public NEATNeuron()

Default constructor, used for persistance.

NEATNeuron

public NEATNeuron(NEATNeuronType neuronType,
                  long neuronID,
                  double splitY,
                  double splitX,
                  double activationResponse)

Construct a NEAT neuron.

Parameters:

neuronType - The type of neuron.

neuronID - The id of the neuron.

splitY - The split for y.

splitX - THe split for x.

activationResponse - The activation response.

Method Detail

getActivationResponse

public double getActivationResponse()

Returns:

the activation response.

getInboundLinks

public List<NEATLink> getInboundLinks()

Returns:

the inbound links.

getNeuronID

public long getNeuronID()

Returns:

The neuron id.

getNeuronType

public NEATNeuronType getNeuronType()

Returns:

the neuron type.

getOutput

public double getOutput()

Returns:

The output from this neuron.

getOutputboundLinks

public List<NEATLink> getOutputboundLinks()

Returns:

The outbound links.

getPosX

public int getPosX()

Returns:

The x position.

getPosY

public int getPosY()

Returns:

The y position.

getSplitX

public double getSplitX()

Returns:

The split x.

getSplitY

public double getSplitY()

Returns:

The split y.

getSumActivation

public double getSumActivation()

Returns:

The sum activation.

setOutput

public void setOutput(double output)

Set the output.

Parameters:

output - The output of the neuron.

toString

public String toString()

Overrides:

toString in class Object