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

Packages that use FlatNetwork
org.encog.mathutil.matrices.hessian |
org.encog.neural.flat |
org.encog.neural.networks |
org.encog.neural.networks.structure |
org.encog.neural.networks.training.cross |
org.encog.neural.networks.training.propagation |
org.encog.neural.rbf |

Uses of FlatNetwork in org.encog.mathutil.matrices.hessian

Fields in org.encog.mathutil.matrices.hessian declared as FlatNetwork
`protected FlatNetwork` | `BasicHessian.flat` The flat network.

Methods in org.encog.mathutil.matrices.hessian that return FlatNetwork
`FlatNetwork` | `ChainRuleWorker.getNetwork()`

Constructors in org.encog.mathutil.matrices.hessian with parameters of type FlatNetwork
`ChainRuleWorker(FlatNetwork theNetwork, MLDataSet theTraining, int theLow, int theHigh)` Construct the chain rule worker.

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.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()`
`FlatNetwork` | `GradientWorker.getNetwork()`

Constructors in org.encog.neural.networks.training.propagation with parameters of type FlatNetwork
`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

Methods in org.encog.neural.rbf that return FlatNetwork
`FlatNetwork` | `RBFNetwork.getFlat()`

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