org.encog.neural.networks.training

Interface LearningRate

All Known Implementing Classes:

Backpropagation, BasicTrainSOM, ManhattanPropagation, QuickPropagation, StochasticGradientDescent, TrainAdaline, TrainInstar, TrainOutstar

public interface LearningRate

Specifies that a training algorithm has the concept of a learning rate. This allows it to be used with strategies that automatically adjust the learning rate.

Method Summary

Modifier and Type	Method and Description
double	getLearningRate()
void	setLearningRate(double rate) Set the learning rate.

Method Detail

setLearningRate

void setLearningRate(double rate)

Set the learning rate.

Parameters:

rate - The new learning rate

getLearningRate

double getLearningRate()

Returns:

The learning rate.