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

Packages that use ContainsFlat

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

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

protected ContainsFlat

Propagation.network The network to train.

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 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

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

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.