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## 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.

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