Uses of Class
org.encog.neural.networks.BasicNetwork

Packages that use BasicNetwork
org.encog.mathutil.matrices.hessian   
org.encog.mathutil.randomize   
org.encog.neural.freeform   
org.encog.neural.networks   
org.encog.neural.networks.layers   
org.encog.neural.networks.structure   
org.encog.neural.networks.training.concurrent.jobs   
org.encog.neural.networks.training.lma   
org.encog.neural.networks.training.nm   
org.encog.neural.networks.training.pso   
org.encog.neural.networks.training.simple   
org.encog.neural.prune   
org.encog.platformspecific.j2se   
org.encog.util.benchmark   
org.encog.util.simple   
 

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

Fields in org.encog.mathutil.matrices.hessian declared as BasicNetwork
protected  BasicNetwork BasicHessian.network
          The neural network that we would like to train.
 

Methods in org.encog.mathutil.matrices.hessian with parameters of type BasicNetwork
 void HessianFD.init(BasicNetwork theNetwork, MLDataSet theTraining)
          Init the class.
 void HessianCR.init(BasicNetwork theNetwork, MLDataSet theTraining)
          Init the class.
 void ComputeHessian.init(BasicNetwork theNetwork, MLDataSet theTraining)
          Init the class.
 void BasicHessian.init(BasicNetwork theNetwork, MLDataSet theTraining)
          Init the class.
 

Uses of BasicNetwork in org.encog.mathutil.randomize
 

Methods in org.encog.mathutil.randomize with parameters of type BasicNetwork
 void ConsistentRandomizer.randomize(BasicNetwork network)
          Randomize the network.
 void BasicRandomizer.randomize(BasicNetwork network, int fromLayer)
          Randomize one level of a neural network.
 void FanInRandomizer.randomize(BasicNetwork network, int fromLayer)
          Randomize one level of a neural network.
 

Uses of BasicNetwork in org.encog.neural.freeform
 

Constructors in org.encog.neural.freeform with parameters of type BasicNetwork
FreeformNetwork(BasicNetwork network)
          Craete a freeform network from a basic network.
 

Uses of BasicNetwork in org.encog.neural.networks
 

Methods in org.encog.neural.networks with parameters of type BasicNetwork
 boolean BasicNetwork.equals(BasicNetwork other, int precision)
          Determine if this neural network is equal to another.
 

Uses of BasicNetwork in org.encog.neural.networks.layers
 

Methods in org.encog.neural.networks.layers that return BasicNetwork
 BasicNetwork Layer.getNetwork()
           
 BasicNetwork BasicLayer.getNetwork()
           
 

Methods in org.encog.neural.networks.layers with parameters of type BasicNetwork
 void Layer.setNetwork(BasicNetwork network)
          Set the network that this layer belongs to.
 void BasicLayer.setNetwork(BasicNetwork network)
          Set the network for this layer.
 

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

Methods in org.encog.neural.networks.structure that return BasicNetwork
 BasicNetwork NeuralStructure.getNetwork()
           
 

Methods in org.encog.neural.networks.structure with parameters of type BasicNetwork
static boolean NetworkCODEC.equals(BasicNetwork network1, BasicNetwork network2)
          Determine if the two neural networks are equal.
static boolean NetworkCODEC.equals(BasicNetwork network1, BasicNetwork network2, int precision)
          Determine if the two neural networks are equal.
 

Constructors in org.encog.neural.networks.structure with parameters of type BasicNetwork
AnalyzeNetwork(BasicNetwork network)
          Construct a network analyze class.
NeuralStructure(BasicNetwork network)
          Construct a structure object for the specified network.
 

Uses of BasicNetwork in org.encog.neural.networks.training.concurrent.jobs
 

Methods in org.encog.neural.networks.training.concurrent.jobs that return BasicNetwork
 BasicNetwork TrainingJob.getNetwork()
           
 

Methods in org.encog.neural.networks.training.concurrent.jobs with parameters of type BasicNetwork
 void TrainingJob.setNetwork(BasicNetwork network)
           
 

Constructors in org.encog.neural.networks.training.concurrent.jobs with parameters of type BasicNetwork
BPROPJob(BasicNetwork network, MLDataSet training, boolean loadToMemory, double learningRate, double momentum)
          Construct a job definition for RPROP.
RPROPJob(BasicNetwork network, MLDataSet training, boolean loadToMemory)
          Construct an RPROP job.
TrainingJob(BasicNetwork network, MLDataSet training, boolean loadToMemory)
          Construct a training job.
 

Uses of BasicNetwork in org.encog.neural.networks.training.lma
 

Constructors in org.encog.neural.networks.training.lma with parameters of type BasicNetwork
LevenbergMarquardtTraining(BasicNetwork network, MLDataSet training)
          Construct the LMA object.
LevenbergMarquardtTraining(BasicNetwork network, MLDataSet training, ComputeHessian h)
          Construct the LMA object.
 

Uses of BasicNetwork in org.encog.neural.networks.training.nm
 

Constructors in org.encog.neural.networks.training.nm with parameters of type BasicNetwork
NelderMeadTraining(BasicNetwork network, MLDataSet training)
          Construct a Nelder Mead trainer with a step size of 100.
NelderMeadTraining(BasicNetwork network, MLDataSet training, double stepValue)
          Construct a Nelder Mead trainer with a definable step.
 

Uses of BasicNetwork in org.encog.neural.networks.training.pso
 

Fields in org.encog.neural.networks.training.pso declared as BasicNetwork
protected  BasicNetwork[] NeuralPSO.m_networks
           
 

Methods in org.encog.neural.networks.training.pso with parameters of type BasicNetwork
 void NeuralPSO.setInitialPopulation(BasicNetwork[] initialPopulation)
          Keep a reference to the passed population of networks.
 

Constructors in org.encog.neural.networks.training.pso with parameters of type BasicNetwork
NeuralPSO(BasicNetwork network, MLDataSet trainingSet)
          Construct a PSO using a training set score function, 20 particles and the NguyenWidrowRandomizer randomizer.
NeuralPSO(BasicNetwork network, Randomizer randomizer, CalculateScore calculateScore, int populationSize)
          Constructor.
 

Uses of BasicNetwork in org.encog.neural.networks.training.simple
 

Constructors in org.encog.neural.networks.training.simple with parameters of type BasicNetwork
TrainAdaline(BasicNetwork network, MLDataSet training, double learningRate)
          Construct an ADALINE trainer.
 

Uses of BasicNetwork in org.encog.neural.prune
 

Methods in org.encog.neural.prune that return BasicNetwork
 BasicNetwork PruneIncremental.getBestNetwork()
           
 BasicNetwork PruneSelective.getNetwork()
           
 BasicNetwork[] PruneIncremental.getTopNetworks()
           
 

Methods in org.encog.neural.prune with parameters of type BasicNetwork
static String PruneIncremental.networkToString(BasicNetwork network)
          Format the network as a human readable string that lists the hidden layers.
 

Constructors in org.encog.neural.prune with parameters of type BasicNetwork
PruneSelective(BasicNetwork network)
          Construct an object prune the neural network.
 

Uses of BasicNetwork in org.encog.platformspecific.j2se
 

Methods in org.encog.platformspecific.j2se with parameters of type BasicNetwork
static void TrainingDialog.trainDialog(BasicNetwork network, MLDataSet trainingSet)
          Train using SCG and display progress to a dialog box.
static void TrainingDialog.trainDialog(MLTrain train, BasicNetwork network, MLDataSet trainingSet)
          Train, using the specified training method, display progress to a dialog box.
 

Uses of BasicNetwork in org.encog.util.benchmark
 

Methods in org.encog.util.benchmark with parameters of type BasicNetwork
static int Evaluate.evaluateTrain(BasicNetwork network, MLDataSet training)
          Evaluate how long it takes to calculate the error for the network.
 

Uses of BasicNetwork in org.encog.util.simple
 

Methods in org.encog.util.simple that return BasicNetwork
static BasicNetwork EncogUtility.simpleFeedForward(int input, int hidden1, int hidden2, int output, boolean tanh)
          Create a simple feedforward neural network.
 

Methods in org.encog.util.simple with parameters of type BasicNetwork
static void EncogUtility.trainConsole(BasicNetwork network, MLDataSet trainingSet, int minutes)
          Train the neural network, using SCG training, and output status to the console.
static void EncogUtility.trainConsole(MLTrain train, BasicNetwork network, MLDataSet trainingSet, int minutes)
          Train the network, using the specified training algorithm, and send the output to the console.
 



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