org.encog.neural.networks.training.svd
Class SVDTraining

java.lang.Object
  org.encog.neural.networks.training.BasicTraining
      org.encog.neural.networks.training.svd.SVDTraining

All Implemented Interfaces:

Train

public class SVDTraining
extends BasicTraining

Train a RBF neural network using a SVD. Contributed to Encog By M.Fletcher and M.Dean University of Cambridge, Dept. of Physics, UK

Constructor Summary

SVDTraining(BasicNetwork network, NeuralDataSet training)
Construct the training object.

Method Summary

BasicNetwork	getNetwork() Get the current best network from the training.
void	iteration() Perform one iteration.

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

addStrategy, finishTraining, getCloud, getError, getIteration, getStrategies, getTraining, isTrainingDone, iteration, postIteration, preIteration, setCloud, setError, setIteration, setTraining

Methods inherited from class java.lang.Object

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

Constructor Detail

SVDTraining

public SVDTraining(BasicNetwork network,
                   NeuralDataSet training)

Construct the training object.

Parameters:

network - The network to train. Must have a single output neuron.

training - The training data to use. Must be indexable.

Method Detail

getNetwork

public BasicNetwork getNetwork()

Description copied from interface: Train

Get the current best network from the training.

Returns:

The trained network.

iteration

public void iteration()

Perform one iteration.