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java.lang.Objectorg.encog.neural.neat.FactorNEATGenome
public class FactorNEATGenome
This factory is used to create NEATGenomes. ----------------------------------------------------------------------------- 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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FactorNEATGenome()
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Method Summary | |
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NEATGenome |
factor()
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Genome |
factor(Genome other)
Create a clone of the other genome. |
NEATGenome |
factor(List<NEATNeuronGene> neurons,
List<NEATLinkGene> links,
int inputCount,
int outputCount)
Create a NEAT genome from a list of links and neurons. |
NEATGenome |
factor(Random rnd,
NEATPopulation pop,
int inputCount,
int outputCount,
double connectionDensity)
Create a new random NEAT genome. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public FactorNEATGenome()
Method Detail |
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public NEATGenome factor()
factor
in interface GenomeFactory
public Genome factor(Genome other)
factor
in interface GenomeFactory
other
- The other genome.
public NEATGenome factor(List<NEATNeuronGene> neurons, List<NEATLinkGene> links, int inputCount, int outputCount)
factor
in interface NEATGenomeFactory
neurons
- A list of neuron genes.links
- A list of link genes.inputCount
- The input count.outputCount
- The output count.
public NEATGenome factor(Random rnd, NEATPopulation pop, int inputCount, int outputCount, double connectionDensity)
factor
in interface NEATGenomeFactory
rnd
- A random number generator.pop
- The NEAT population.inputCount
- The input count.outputCount
- The output count.connectionDensity
- The connection density. Specify 1.0 for fully connected.
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