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Uses of FlatNetwork in org.encog.app.generate.generators |
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Methods in org.encog.app.generate.generators with parameters of type FlatNetwork | |
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int[] |
AbstractTemplateGenerator.createActivations(FlatNetwork flat)
Create an array of activations based on a flat network. |
double[] |
AbstractTemplateGenerator.createParams(FlatNetwork flat)
Create an array of doubles to hold the specified flat network. |
Uses of FlatNetwork in org.encog.mathutil.matrices.hessian |
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Fields in org.encog.mathutil.matrices.hessian declared as FlatNetwork | |
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protected FlatNetwork |
BasicHessian.flat
The flat network. |
Methods in org.encog.mathutil.matrices.hessian that return FlatNetwork | |
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FlatNetwork |
ChainRuleWorker.getNetwork()
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Constructors in org.encog.mathutil.matrices.hessian with parameters of type FlatNetwork | |
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ChainRuleWorker(FlatNetwork theNetwork,
MLDataSet theTraining,
int theLow,
int theHigh)
Construct the chain rule worker. |
Uses of FlatNetwork in org.encog.neural.flat |
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Subclasses of FlatNetwork in org.encog.neural.flat | |
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class |
FlatNetworkRBF
A flat network designed to handle an RBF. |
Methods in org.encog.neural.flat that return FlatNetwork | |
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FlatNetwork |
FlatNetwork.clone()
Clone the network. |
Methods in org.encog.neural.flat with parameters of type FlatNetwork | |
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void |
FlatNetwork.cloneFlatNetwork(FlatNetwork result)
Clone into the flat network passed in. |
Uses of FlatNetwork in org.encog.neural.networks |
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Methods in org.encog.neural.networks that return FlatNetwork | |
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FlatNetwork |
BasicNetwork.getFlat()
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FlatNetwork |
ContainsFlat.getFlat()
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Uses of FlatNetwork in org.encog.neural.networks.structure |
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Methods in org.encog.neural.networks.structure that return FlatNetwork | |
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FlatNetwork |
NeuralStructure.getFlat()
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Methods in org.encog.neural.networks.structure with parameters of type FlatNetwork | |
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void |
NeuralStructure.setFlat(FlatNetwork flat)
Set the flat network. |
Uses of FlatNetwork in org.encog.neural.networks.training.cross |
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Methods in org.encog.neural.networks.training.cross with parameters of type FlatNetwork | |
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void |
NetworkFold.copyFromNetwork(FlatNetwork source)
Copy the weights and output from the network. |
void |
NetworkFold.copyToNetwork(FlatNetwork target)
Copy weights and output to the network. |
Constructors in org.encog.neural.networks.training.cross with parameters of type FlatNetwork | |
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NetworkFold(FlatNetwork flat)
Construct a fold from the specified flat network. |
Uses of FlatNetwork in org.encog.neural.networks.training.propagation |
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Methods in org.encog.neural.networks.training.propagation that return FlatNetwork | |
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FlatNetwork |
Propagation.getCurrentFlatNetwork()
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FlatNetwork |
GradientWorker.getNetwork()
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Constructors in org.encog.neural.networks.training.propagation with parameters of type FlatNetwork | |
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GradientWorker(FlatNetwork theNetwork,
Propagation theOwner,
MLDataSet theTraining,
int theLow,
int theHigh,
double[] flatSpot,
ErrorFunction ef)
Construct a gradient worker. |
Uses of FlatNetwork in org.encog.neural.rbf |
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Methods in org.encog.neural.rbf that return FlatNetwork | |
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FlatNetwork |
RBFNetwork.getFlat()
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