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

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

All Implemented Interfaces:

Train

Direct Known Subclasses:

TrainingSetNeuralGeneticAlgorithm

public class NeuralGeneticAlgorithm
extends BasicTraining

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 somewhat undefined. 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.

Nested Class Summary

class

NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper Very simple class that implements a genetic algorithm.

Constructor Summary

NeuralGeneticAlgorithm()
Construct the training class.

Method Summary

NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper	getGenetic()
BasicNetwork	getNetwork() Get the current best network from the training.
void	iteration() Perform one training iteration.
void	setGenetic(NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper genetic) Set the genetic helper class.

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

addStrategy, finishTraining, 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

NeuralGeneticAlgorithm

public NeuralGeneticAlgorithm()

Construct the training class.

Method Detail

getGenetic

public NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper getGenetic()

Returns:

The genetic algorithm implementation.

getNetwork

public BasicNetwork getNetwork()

Description copied from interface: Train

Get the current best network from the training.

Returns:

The network that is being trained.

iteration

public void iteration()

Perform one training iteration.

setGenetic

public void setGenetic(NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper genetic)

Set the genetic helper class.

Parameters:

genetic - The genetic helper class.