Uses of Class
org.encog.neural.flat.FlatNetwork

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	TrainFlatNetworkProp.getNetwork()
FlatNetwork	GradientWorker.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

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()