Uses of Class
org.encog.engine.network.flat.FlatNetwork

Packages that use FlatNetwork
org.encog.engine.concurrency.calc   
org.encog.engine.network.flat   
org.encog.engine.network.train   
org.encog.engine.network.train.gradient   
org.encog.engine.network.train.prop   
org.encog.engine.opencl.kernels   
org.encog.neural.networks.structure   
org.encog.neural.networks.training.cross   
org.encog.neural.networks.training.propagation   
 

Uses of FlatNetwork in org.encog.engine.concurrency.calc
 

Methods in org.encog.engine.concurrency.calc that return FlatNetwork
 FlatNetwork ConcurrentCalculate.getNetwork()
           
 

Methods in org.encog.engine.concurrency.calc with parameters of type FlatNetwork
 void ConcurrentCalculate.setNetwork(FlatNetwork network)
          Set the current network.
 void CalcOpenCLDevice.setNetwork(FlatNetwork network)
          Set the network that we will be using.
 

Uses of FlatNetwork in org.encog.engine.network.flat
 

Subclasses of FlatNetwork in org.encog.engine.network.flat
 class FlatNetworkRBF
          A flat network designed to handle an RBF.
 

Methods in org.encog.engine.network.flat that return FlatNetwork
 FlatNetwork FlatNetwork.clone()
          Clone the network.
 

Methods in org.encog.engine.network.flat with parameters of type FlatNetwork
 void FlatNetwork.cloneFlatNetwork(FlatNetwork result)
           
 

Uses of FlatNetwork in org.encog.engine.network.train
 

Methods in org.encog.engine.network.train that return FlatNetwork
 FlatNetwork TrainFlatNetwork.getNetwork()
           
 

Uses of FlatNetwork in org.encog.engine.network.train.gradient
 

Methods in org.encog.engine.network.train.gradient that return FlatNetwork
 FlatNetwork GradientWorkerCPU.getNetwork()
           
 FlatNetwork FlatGradientWorker.getNetwork()
           
 

Constructors in org.encog.engine.network.train.gradient with parameters of type FlatNetwork
GradientWorkerCPU(FlatNetwork network, TrainFlatNetworkProp owner, EngineIndexableSet training, int low, int high)
          Construct a gradient worker.
 

Uses of FlatNetwork in org.encog.engine.network.train.prop
 

Fields in org.encog.engine.network.train.prop declared as FlatNetwork
protected  FlatNetwork TrainFlatNetworkProp.network
          The network to train.
 

Methods in org.encog.engine.network.train.prop that return FlatNetwork
 FlatNetwork TrainFlatNetworkProp.getNetwork()
          
 FlatNetwork TrainFlatNetworkOpenCL.getNetwork()
          
 

Constructors in org.encog.engine.network.train.prop with parameters of type FlatNetwork
TrainFlatNetworkBackPropagation(FlatNetwork network, EngineDataSet training, double learningRate, double momentum)
          Construct a backprop trainer for flat networks.
TrainFlatNetworkManhattan(FlatNetwork network, EngineDataSet training, double learningRate)
          Construct a trainer for flat networks to use the Manhattan update rule.
TrainFlatNetworkOpenCL(FlatNetwork network, EngineDataSet training, OpenCLTrainingProfile profile)
          Train a flat network multithreaded.
TrainFlatNetworkProp(FlatNetwork network, EngineDataSet training)
          Train a flat network multithreaded.
TrainFlatNetworkResilient(FlatNetwork flat, EngineDataSet trainingSet)
          Tran a network using RPROP.
TrainFlatNetworkResilient(FlatNetwork network, EngineDataSet training, double zeroTolerance, double initialUpdate, double maxStep)
          Construct a resilient trainer for flat networks.
TrainFlatNetworkSCG(FlatNetwork network, EngineDataSet training)
          Construct the training object.
 

Uses of FlatNetwork in org.encog.engine.opencl.kernels
 

Methods in org.encog.engine.opencl.kernels that return FlatNetwork
 FlatNetwork KernelNetworkCalc.getFlat()
           
 

Methods in org.encog.engine.opencl.kernels with parameters of type FlatNetwork
 void KernelNetworkCalc.compile(FlatNetwork network)
          Compile the kernel.
 void KernelNetworkTrain.compile(Map<String,String> options, OpenCLTrainingProfile profile, FlatNetwork network)
          Compile the kernel.
 void KernelNetworkCalc.setFlat(FlatNetwork flat)
           
 

Constructors in org.encog.engine.opencl.kernels with parameters of type FlatNetwork
KernelNetworkTrain(EncogCLDevice device, FlatNetwork flat, EngineIndexableSet training, int tempDataSize)
          Construct a kernel to train the network.
 

Uses of FlatNetwork in org.encog.neural.networks.structure
 

Methods in org.encog.neural.networks.structure that return FlatNetwork
 FlatNetwork NeuralStructure.getFlat()
           
 

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()
           
 



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