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## 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.

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