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java.lang.Objectorg.encog.neural.neat.NEATLink
public class NEATLink
Implements a link between two NEAT neurons. 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
Constructor Summary | |
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NEATLink(int theFromNeuron,
int theToNeuron,
double theWeight)
Construct a NEAT link. |
Method Summary | |
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int |
compareTo(NEATLink other)
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boolean |
equals(Object other)
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int |
getFromNeuron()
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int |
getToNeuron()
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double |
getWeight()
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void |
setFromNeuron(int fromNeuron)
Set the from neuron. |
void |
setToNeuron(int toNeuron)
Set the target neuron. |
void |
setWeight(double weight)
Set the weight of this link. |
String |
toString()
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Methods inherited from class java.lang.Object |
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clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public NEATLink(int theFromNeuron, int theToNeuron, double theWeight)
theFromNeuron
- The from neuron.theToNeuron
- The to neuron.theWeight
- The weight.Method Detail |
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public int compareTo(NEATLink other)
compareTo
in interface Comparable<NEATLink>
public boolean equals(Object other)
equals
in class Object
public int getFromNeuron()
public int getToNeuron()
public double getWeight()
public void setFromNeuron(int fromNeuron)
fromNeuron
- The from neuron.public void setToNeuron(int toNeuron)
toNeuron
- The target neuron.public void setWeight(double weight)
weight
- The weight.public String toString()
toString
in class Object
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