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

java.lang.Object
  org.encog.neural.networks.training.BasicTraining
      org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm
          org.encog.neural.networks.training.genetic.TrainingSetNeuralGeneticAlgorithm

All Implemented Interfaces:

Train

public class TrainingSetNeuralGeneticAlgorithm
extends NeuralGeneticAlgorithm

Implements a genetic algorithm that allows a neural network to be trained using a genetic algorithm. This algorithm is for a neural network. The neural network is trained using training sets.

Constructor Summary

TrainingSetNeuralGeneticAlgorithm(BasicNetwork network, Randomizer randomizer, NeuralDataSet training, int populationSize, double mutationPercent, double percentToMate)
Construct a training object.

Method Summary

Methods inherited from class org.encog.neural.networks.training.genetic.NeuralGeneticAlgorithm

getGenetic, getNetwork, iteration, setGenetic

Methods inherited from class org.encog.neural.networks.training.BasicTraining

addStrategy, getError, getStrategies, getTraining, postIteration, preIteration, setError, setTraining

Methods inherited from class java.lang.Object

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

Constructor Detail

TrainingSetNeuralGeneticAlgorithm

public TrainingSetNeuralGeneticAlgorithm(BasicNetwork network,
                                         Randomizer randomizer,
                                         NeuralDataSet training,
                                         int populationSize,
                                         double mutationPercent,
                                         double percentToMate)

Construct a training object.

Parameters:

network - The network to train.

randomizer - The randomizer to use to create new networks.

training - The training set.

populationSize - The population size.

mutationPercent - The mutation percent.

percentToMate - The percent to mate.