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## 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` | `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

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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