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| Packages that use TrainFlatNetworkProp | |
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| org.encog.neural.flat.train.prop | This package contains the propagation training for flat networks. |
| Uses of TrainFlatNetworkProp in org.encog.neural.flat.train.prop |
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| Subclasses of TrainFlatNetworkProp in org.encog.neural.flat.train.prop | |
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class |
TrainFlatNetworkBackPropagation
Train a flat network, using backpropagation. |
class |
TrainFlatNetworkManhattan
Train the flat network using Manhattan update rule. |
class |
TrainFlatNetworkQPROP
Train a flat network, using QuickPropagation. |
class |
TrainFlatNetworkResilient
Train a flat network using RPROP. |
class |
TrainFlatNetworkSCG
Train a network using scaled conjugate gradient. |
| Constructors in org.encog.neural.flat.train.prop with parameters of type TrainFlatNetworkProp | |
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GradientWorker(FlatNetwork theNetwork,
TrainFlatNetworkProp theOwner,
MLDataSet theTraining,
int theLow,
int theHigh,
double[] flatSpot,
ErrorFunction ef)
Construct a gradient worker. |
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