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Uses of ContainsFlat in org.encog.neural.networks |
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Classes in org.encog.neural.networks that implement ContainsFlat | |
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class |
BasicNetwork
This class implements a neural network. |
Uses of ContainsFlat in org.encog.neural.networks.training.propagation |
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Fields in org.encog.neural.networks.training.propagation declared as ContainsFlat | |
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protected ContainsFlat |
Propagation.network
The network to train. |
Constructors in org.encog.neural.networks.training.propagation with parameters of type ContainsFlat | |
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Propagation(ContainsFlat network,
MLDataSet training)
Construct a propagation object. |
Uses of ContainsFlat in org.encog.neural.networks.training.propagation.back |
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Constructors in org.encog.neural.networks.training.propagation.back with parameters of type ContainsFlat | |
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Backpropagation(ContainsFlat network,
MLDataSet training)
Create a class to train using backpropagation. |
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Backpropagation(ContainsFlat network,
MLDataSet training,
double theLearnRate,
double theMomentum)
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Uses of ContainsFlat in org.encog.neural.networks.training.propagation.manhattan |
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Constructors in org.encog.neural.networks.training.propagation.manhattan with parameters of type ContainsFlat | |
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ManhattanPropagation(ContainsFlat network,
MLDataSet training,
double theLearnRate)
Construct a Manhattan propagation training object. |
Uses of ContainsFlat in org.encog.neural.networks.training.propagation.quick |
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Constructors in org.encog.neural.networks.training.propagation.quick with parameters of type ContainsFlat | |
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QuickPropagation(ContainsFlat network,
MLDataSet training)
Construct a QPROP trainer for flat networks. |
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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 |
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Constructors in org.encog.neural.networks.training.propagation.resilient with parameters of type ContainsFlat | |
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ResilientPropagation(ContainsFlat network,
MLDataSet training)
Construct an RPROP trainer, allows an OpenCL device to be specified. |
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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 |
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Constructors in org.encog.neural.networks.training.propagation.scg with parameters of type ContainsFlat | |
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ScaledConjugateGradient(ContainsFlat network,
MLDataSet training)
Construct a training class. |
Uses of ContainsFlat in org.encog.neural.rbf |
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Classes in org.encog.neural.rbf that implement ContainsFlat | |
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class |
RBFNetwork
RBF neural network. |
Uses of ContainsFlat in org.encog.util |
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Methods in org.encog.util with parameters of type ContainsFlat | |
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static void |
EncogValidate.validateNetworkForTraining(ContainsFlat network,
MLDataSet training)
Validate a network for training. |
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