org.encog.neural.networks.training.genetic
Class NeuralGeneticAlgorithm

java.lang.Object
  org.encog.solve.genetic.GeneticAlgorithm<java.lang.Double>
      org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm

Direct Known Subclasses:

TrainingSetNeuralGeneticAlgorithm

public class NeuralGeneticAlgorithm
extends GeneticAlgorithm<java.lang.Double>

NeuralGeneticAlgorithm: Implements a genetic algorithm that allows a feedforward neural network to be trained using a genetic algorithm. This algorithm is for a feed forward neural network. This class is abstract. If you wish to train the neural network using training sets, you should use the TrainingSetNeuralGeneticAlgorithm class. If you wish to use a cost function to train the neural network, then implement a subclass of this one that properly calculates the cost.

Field Summary

Fields inherited from class org.encog.solve.genetic.GeneticAlgorithm

TIMEOUT

Constructor Summary

NeuralGeneticAlgorithm()

Method Summary

BasicNetwork

getNetwork() Get the current best neural network.

Methods inherited from class org.encog.solve.genetic.GeneticAlgorithm

getChromosome, getChromosomes, getCutLength, getMatingPopulation, getMutationPercent, getPercentToMate, getPool, getPopulationSize, isPreventRepeat, iteration, setChromosome, setChromosomes, setCutLength, setMatingPopulation, setMutationPercent, setPercentToMate, setPool, setPopulationSize, setPreventRepeat, sortChromosomes

Methods inherited from class java.lang.Object

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

Constructor Detail

NeuralGeneticAlgorithm

public NeuralGeneticAlgorithm()

Method Detail

getNetwork

public BasicNetwork getNetwork()

Get the current best neural network.

Returns:

The current best neural network.