Package org.encog.neural.networks.training.propagation

Interface Summary

PropagationMethod

Defines the specifics to one of the propagation methods.

Class Summary

CalculatePartialDerivative	Class that is used to calculate the partial derivatives for the error for individual layers of a neural network.
Propagation	Implements basic functionality that is needed by each of the propagation methods.
PropagationLevel	Holds a level worth of information used by each of the propagation methods.
PropagationSynapse	The back propagation training algorithms requires training data to be stored for each of the synapses.