org.encog.neural.networks.training.propagation
Class Propagation

java.lang.Object
  org.encog.neural.networks.training.BasicTraining
      org.encog.neural.networks.training.propagation.Propagation

All Implemented Interfaces:

Train

Direct Known Subclasses:

Backpropagation, ManhattanPropagation, ResilientPropagation

public class Propagation
extends BasicTraining

Implements basic functionality that is needed by each of the propagation methods. The specifics of each of the propagation methods is implemented inside of the PropagationMethod interface implementors.

Author:

jheaton

Constructor Summary

Propagation(BasicNetwork network, PropagationMethod method, NeuralDataSet training)
Construct a propagation trainer.

Method Summary

int	getBatchSize()
BasicNetwork	getNetwork() Get the current best network from the training.
PropagationUtil	getPropagationUtil()
void	iteration() Perform one iteration of training.
void	setBatchSize(int batchSize) Set the batch size.

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

Propagation

public Propagation(BasicNetwork network,
                   PropagationMethod method,
                   NeuralDataSet training)

Construct a propagation trainer.

Parameters:

network - The network to train.

method - The propagation method to use.

training - The training data to use.

Method Detail

getBatchSize

public int getBatchSize()

Returns:

Get the batch size. See batchSize property for a complete description.

getNetwork

public BasicNetwork getNetwork()

Description copied from interface: Train

Get the current best network from the training.

Returns:

THe network being trained.

getPropagationUtil

public PropagationUtil getPropagationUtil()

Returns:

The propagation utility to use.

iteration

public void iteration()

Perform one iteration of training. Note: if you get a StackOverflowError while training, then you have endless recurrent loops. Try inserting no trainable synapses on one side of the loop.

setBatchSize

public void setBatchSize(int batchSize)

Set the batch size. See batchSize property for a complete description.

Parameters:

batchSize - The batch training size.