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

- Packages that use ContainsFlat
  Package | Description
  --- | ---
  org.encog.neural.networks |
  org.encog.neural.networks.training.propagation |
  org.encog.neural.networks.training.propagation.back |
  org.encog.neural.networks.training.propagation.manhattan |
  org.encog.neural.networks.training.propagation.quick |
  org.encog.neural.networks.training.propagation.resilient |
  org.encog.neural.networks.training.propagation.scg |
  org.encog.neural.rbf |
  org.encog.util |

- - ### Uses of ContainsFlat in org.encog.neural.networks

    Classes in org.encog.neural.networks that implement ContainsFlat
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BasicNetwork` This class implements a neural network.

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

    Fields in org.encog.neural.networks.training.propagation declared as ContainsFlat
    Modifier and Type | Field and Description
    --- | ---
    `protected ContainsFlat` | Propagation.`network` The network to train.

    Constructors in org.encog.neural.networks.training.propagation with parameters of type ContainsFlat
    Constructor and Description
    `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
    Constructor and Description
    `Backpropagation(ContainsFlat network, MLDataSet training)` Create a class to train using backpropagation.
    `Backpropagation(ContainsFlat network, MLDataSet training, double theLearnRate, double theMomentum)`

  - ### 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
    Constructor and Description
    `ManhattanPropagation(ContainsFlat network, MLDataSet training, double theLearnRate)` 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
    Constructor and Description
    `QuickPropagation(ContainsFlat network, MLDataSet training)` Construct a QPROP trainer for flat networks.
    `QuickPropagation(ContainsFlat network, MLDataSet training, double theLearningRate)` 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
    Constructor and Description
    `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
    Constructor and Description
    `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
    Modifier and Type | Class and Description
    --- | ---
    `class` | `RBFNetwork` RBF neural network.

  - ### Uses of ContainsFlat in org.encog.util

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

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