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## Uses of Interface
org.encog.neural.networks.ContainsFlat

Packages that use ContainsFlat
org.encog.neural.networks | This package contains the neural network machine learning methods.
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.
org.encog.neural.rbf | This package contains classes for RBF networks.
org.encog.util |

Uses of ContainsFlat in org.encog.neural.networks

Classes in org.encog.neural.networks that implement ContainsFlat
`class` | `BasicNetwork` This class implements a neural network.

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

Constructors in org.encog.neural.networks.training.propagation with parameters of type ContainsFlat
`Propagation(ContainsFlat network, MLDataSet training)` Construct a propagation object.

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

Constructors in org.encog.neural.networks.training.propagation.back with parameters of type ContainsFlat
`Backpropagation(ContainsFlat network, MLDataSet training)` Create a class to train using backpropagation.
`Backpropagation(ContainsFlat network, MLDataSet training, double learnRate, double momentum)`

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

Constructors in org.encog.neural.networks.training.propagation.manhattan with parameters of type ContainsFlat
`ManhattanPropagation(ContainsFlat network, MLDataSet training, double learnRate)` Construct a Manhattan propagation training object.

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

Constructors in org.encog.neural.networks.training.propagation.quick with parameters of type ContainsFlat
`QuickPropagation(ContainsFlat network, MLDataSet training)` Construct a QPROP trainer for flat networks.
`QuickPropagation(ContainsFlat network, MLDataSet training, double learnRate)` Construct a QPROP trainer for flat networks.

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

Constructors in org.encog.neural.networks.training.propagation.resilient with parameters of type ContainsFlat
`ResilientPropagation(ContainsFlat network, MLDataSet training)` Construct an RPROP trainer, allows an OpenCL device to be specified.
`ResilientPropagation(ContainsFlat network, MLDataSet training, double initialUpdate, double maxStep)` Construct a resilient training object, allow the training parameters to be specified.

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

Constructors in org.encog.neural.networks.training.propagation.scg with parameters of type ContainsFlat
`ScaledConjugateGradient(ContainsFlat network, MLDataSet training)` Construct a training class.

Uses of ContainsFlat in org.encog.neural.rbf

Classes in org.encog.neural.rbf that implement ContainsFlat
`class` | `RBFNetwork` RBF neural network.

Uses of ContainsFlat in org.encog.util

Methods in org.encog.util with parameters of type ContainsFlat
`static void` | `EncogValidate.validateNetworkForTraining(ContainsFlat network, MLDataSet training)` Validate a network for training.

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