Uses of Interface
org.encog.neural.networks.training.Train

Packages that use Train

org.encog.neural.networks.training.propagation	This package provides propagation training for neural networks.
org.encog.neural.networks.training.propagation.back	This package provides back propagation training for neural networks.
org.encog.neural.networks.training.propagation.manhattan	This package provides Manhattan propagation training for neural networks.
org.encog.neural.networks.training.propagation.quick	This package provides back propagation training for neural networks.
org.encog.neural.networks.training.propagation.resilient	This package provides resilient propagation training for neural networks.
org.encog.neural.networks.training.propagation.scg	This package provides SCG propagation training for neural networks.

Uses of Train in org.encog.neural.networks.training.propagation

Classes in org.encog.neural.networks.training.propagation that implement Train

class

Propagation Implements basic functionality that is needed by each of the propagation methods.

Uses of Train in org.encog.neural.networks.training.propagation.back

Classes in org.encog.neural.networks.training.propagation.back that implement Train

class

Backpropagation This class implements a backpropagation training algorithm for feed forward neural networks.

Uses of Train in org.encog.neural.networks.training.propagation.manhattan

Classes in org.encog.neural.networks.training.propagation.manhattan that implement Train

class

ManhattanPropagation One problem that the backpropagation technique has is that the magnitude of the partial derivative may be calculated too large or too small.

Uses of Train in org.encog.neural.networks.training.propagation.quick

Classes in org.encog.neural.networks.training.propagation.quick that implement Train

class

QuickPropagation QPROP is an efficient training method that is based on Newton's Method.

Uses of Train in org.encog.neural.networks.training.propagation.resilient

Classes in org.encog.neural.networks.training.propagation.resilient that implement Train

class

ResilientPropagation One problem with the backpropagation algorithm is that the magnitude of the partial derivative is usually too large or too small.

Uses of Train in org.encog.neural.networks.training.propagation.scg

Classes in org.encog.neural.networks.training.propagation.scg that implement Train

class

ScaledConjugateGradient This is a training class that makes use of scaled conjugate gradient methods.