Package org.encog.neural.flat.train.prop

This package contains the propagation training for flat networks.

See:
Description

Class Summary

GradientWorker	Worker class for the mulithreaded training of flat networks.
RPROPConst	Constants used for Resilient Propagation (RPROP) training.
TrainFlatNetworkBackPropagation	Train a flat network, using backpropagation.
TrainFlatNetworkManhattan	Train the flat network using Manhattan update rule.
TrainFlatNetworkProp	Train a flat network using multithreading, and GPU support.
TrainFlatNetworkQPROP	Train a flat network, using QuickPropagation.
TrainFlatNetworkResilient	Train a flat network using RPROP.
TrainFlatNetworkSCG	Train a network using scaled conjugate gradient.

Enum Summary

RPROPType

Allows the type of RPROP to be defined.

Package org.encog.neural.flat.train.prop Description

This package contains the propagation training for flat networks.