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| Packages that use FlatNetwork | |
|---|---|
| org.encog.neural.flat | Flat neural networks are Encog's higher performance implementation of multi-layer networks. |
| org.encog.neural.flat.train | This package contains the flat training methods. |
| org.encog.neural.flat.train.prop | This package contains the propagation training for flat networks. |
| org.encog.neural.networks | This package contains the neural network machine learning methods. |
| org.encog.neural.networks.structure | This package contains classes used to handle the structure of a neural network. |
| org.encog.neural.networks.training.cross | This package provides cross validation training. |
| org.encog.neural.networks.training.propagation | This package provides propagation training for neural networks. |
| org.encog.neural.rbf | This package contains classes for RBF networks. |
| Uses of FlatNetwork in org.encog.neural.flat |
|---|
| Subclasses of FlatNetwork in org.encog.neural.flat | |
|---|---|
class |
FlatNetworkRBF
A flat network designed to handle an RBF. |
| Methods in org.encog.neural.flat that return FlatNetwork | |
|---|---|
FlatNetwork |
FlatNetwork.clone()
Clone the network. |
| Methods in org.encog.neural.flat with parameters of type FlatNetwork | |
|---|---|
void |
FlatNetwork.cloneFlatNetwork(FlatNetwork result)
Clone into the flat network passed in. |
| Uses of FlatNetwork in org.encog.neural.flat.train |
|---|
| Methods in org.encog.neural.flat.train that return FlatNetwork | |
|---|---|
FlatNetwork |
TrainFlatNetwork.getNetwork()
|
| Uses of FlatNetwork in org.encog.neural.flat.train.prop |
|---|
| Fields in org.encog.neural.flat.train.prop declared as FlatNetwork | |
|---|---|
protected FlatNetwork |
TrainFlatNetworkProp.network
The network to train. |
| Methods in org.encog.neural.flat.train.prop that return FlatNetwork | |
|---|---|
FlatNetwork |
GradientWorker.getNetwork()
|
FlatNetwork |
TrainFlatNetworkProp.getNetwork()
|
| Constructors in org.encog.neural.flat.train.prop with parameters of type FlatNetwork | |
|---|---|
GradientWorker(FlatNetwork theNetwork,
TrainFlatNetworkProp theOwner,
MLDataSet theTraining,
int theLow,
int theHigh,
double[] flatSpot,
ErrorFunction ef)
Construct a gradient worker. |
|
TrainFlatNetworkBackPropagation(FlatNetwork network,
MLDataSet training,
double theLearningRate,
double theMomentum)
Construct a backprop trainer for flat networks. |
|
TrainFlatNetworkManhattan(FlatNetwork network,
MLDataSet training,
double theLearningRate)
Construct a trainer for flat networks to use the Manhattan update rule. |
|
TrainFlatNetworkProp(FlatNetwork network,
MLDataSet training)
Train a flat network multithreaded. |
|
TrainFlatNetworkQPROP(FlatNetwork network,
MLDataSet training,
double theLearningRate)
Construct a QPROP trainer for flat networks. |
|
TrainFlatNetworkResilient(FlatNetwork flat,
MLDataSet trainingSet)
Tran a network using RPROP. |
|
TrainFlatNetworkResilient(FlatNetwork network,
MLDataSet training,
double zeroTolerance,
double initialUpdate,
double maxStep)
Construct a resilient trainer for flat networks. |
|
TrainFlatNetworkSCG(FlatNetwork network,
MLDataSet training)
Construct the training object. |
|
| Uses of FlatNetwork in org.encog.neural.networks |
|---|
| Methods in org.encog.neural.networks that return FlatNetwork | |
|---|---|
FlatNetwork |
ContainsFlat.getFlat()
|
FlatNetwork |
BasicNetwork.getFlat()
|
| Uses of FlatNetwork in org.encog.neural.networks.structure |
|---|
| Methods in org.encog.neural.networks.structure that return FlatNetwork | |
|---|---|
FlatNetwork |
NeuralStructure.getFlat()
|
| Methods in org.encog.neural.networks.structure with parameters of type FlatNetwork | |
|---|---|
void |
NeuralStructure.setFlat(FlatNetwork flat)
Set the flat network. |
| Uses of FlatNetwork in org.encog.neural.networks.training.cross |
|---|
| Methods in org.encog.neural.networks.training.cross with parameters of type FlatNetwork | |
|---|---|
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 | |
|---|---|
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 | |
|---|---|
FlatNetwork |
Propagation.getCurrentFlatNetwork()
|
| Uses of FlatNetwork in org.encog.neural.rbf |
|---|
| Methods in org.encog.neural.rbf that return FlatNetwork | |
|---|---|
FlatNetwork |
RBFNetwork.getFlat()
|
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