Uses of Interface
org.encog.neural.networks.training.Train

Packages that use Train

org.encog.neural.networks.training
org.encog.neural.networks.training.anneal
org.encog.neural.networks.training.competitive
org.encog.neural.networks.training.concurrent.jobs
org.encog.neural.networks.training.cpn
org.encog.neural.networks.training.cross
org.encog.neural.networks.training.genetic
org.encog.neural.networks.training.hebbian
org.encog.neural.networks.training.lma
org.encog.neural.networks.training.neat
org.encog.neural.networks.training.propagation
org.encog.neural.networks.training.propagation.back
org.encog.neural.networks.training.propagation.manhattan
org.encog.neural.networks.training.propagation.resilient
org.encog.neural.networks.training.propagation.scg
org.encog.neural.networks.training.simple
org.encog.neural.networks.training.strategy
org.encog.neural.networks.training.strategy.end
org.encog.neural.networks.training.svd
org.encog.neural.networks.training.svm
org.encog.util.simple

Uses of Train in org.encog.neural.networks.training

Classes in org.encog.neural.networks.training that implement Train

class

BasicTraining An abstract class that implements basic training for most training algorithms.

Methods in org.encog.neural.networks.training with parameters of type Train

void	Strategy.init(Train train) Initialize this strategy.

Constructors in org.encog.neural.networks.training with parameters of type Train

TrainingStatusUtility(EncogCloud cloud, Train train)
Create a training status utility.

Uses of Train in org.encog.neural.networks.training.anneal

Classes in org.encog.neural.networks.training.anneal that implement Train

class

NeuralSimulatedAnnealing This class implements a simulated annealing training algorithm for neural networks.

Uses of Train in org.encog.neural.networks.training.competitive

Classes in org.encog.neural.networks.training.competitive that implement Train

class

CompetitiveTraining This class implements competitive training, which would be used in a winner-take-all neural network, such as the self organizing map (SOM).

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

Methods in org.encog.neural.networks.training.concurrent.jobs that return Train

Train

TrainingJob.getTrain()

Methods in org.encog.neural.networks.training.concurrent.jobs with parameters of type Train

void	TrainingJob.setTrain(Train train)

Uses of Train in org.encog.neural.networks.training.cpn

Classes in org.encog.neural.networks.training.cpn that implement Train

class	TrainInstar Used for Instar training of a CPN neural network.
class	TrainOutstar Used for Instar training of a CPN neural network.

Uses of Train in org.encog.neural.networks.training.cross

Classes in org.encog.neural.networks.training.cross that implement Train

class	CrossTraining Base class for cross training trainers.
class	CrossValidationKFold Train using K-Fold cross validation.

Constructors in org.encog.neural.networks.training.cross with parameters of type Train

CrossValidationKFold(Train train, int k)
Construct a cross validation trainer.

Uses of Train in org.encog.neural.networks.training.genetic

Classes in org.encog.neural.networks.training.genetic that implement Train

class

NeuralGeneticAlgorithm Implements a genetic algorithm that allows a feedforward or simple recurrent neural network to be trained using a genetic algorithm.

Uses of Train in org.encog.neural.networks.training.hebbian

Classes in org.encog.neural.networks.training.hebbian that implement Train

class

HebbianTraining This class implements Hebbian learning for Enocg.

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

Classes in org.encog.neural.networks.training.lma that implement Train

class

LevenbergMarquardtTraining Trains a neural network using a Levenberg Marquardt algorithm (LMA).

Uses of Train in org.encog.neural.networks.training.neat

Classes in org.encog.neural.networks.training.neat that implement Train

class

NEATTraining Implements NEAT genetic training.

Uses of Train in org.encog.neural.networks.training.propagation

Classes in org.encog.neural.networks.training.propagation that implement Train

class

Propagation Implements basic functionality that is needed by each of the propagation methods.

Uses of Train in org.encog.neural.networks.training.propagation.back

Classes in org.encog.neural.networks.training.propagation.back that implement Train

class

Backpropagation This class implements a backpropagation training algorithm for feed forward neural networks.

Uses of Train in org.encog.neural.networks.training.propagation.manhattan

Classes in org.encog.neural.networks.training.propagation.manhattan that implement Train

class

ManhattanPropagation One problem that the backpropagation technique has is that the magnitude of the partial derivative may be calculated too large or too small.

Uses of Train in org.encog.neural.networks.training.propagation.resilient

Classes in org.encog.neural.networks.training.propagation.resilient that implement Train

class

ResilientPropagation One problem with the backpropagation algorithm is that the magnitude of the partial derivative is usually too large or too small.

Uses of Train in org.encog.neural.networks.training.propagation.scg

Classes in org.encog.neural.networks.training.propagation.scg that implement Train

class

ScaledConjugateGradient This is a training class that makes use of scaled conjugate gradient methods.

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

Classes in org.encog.neural.networks.training.simple that implement Train

class

TrainAdaline Train an ADALINE neural network.

Uses of Train in org.encog.neural.networks.training.strategy

Methods in org.encog.neural.networks.training.strategy with parameters of type Train

void	StopTrainingStrategy.init(Train train) Initialize this strategy.
void	SmartMomentum.init(Train train) Initialize this strategy.
void	SmartLearningRate.init(Train train) Initialize this strategy.
void	ResetStrategy.init(Train train) Initialize this strategy.
void	RequiredImprovementStrategy.init(Train train) Initialize this strategy.
void	HybridStrategy.init(Train train) Initialize this strategy.
void	Greedy.init(Train train) Initialize this strategy.

Constructors in org.encog.neural.networks.training.strategy with parameters of type Train

HybridStrategy(Train altTrain)
Construct a hybrid strategy with the default minimum improvement and toleration cycles.

HybridStrategy(Train altTrain, double minImprovement, int tolerateMinImprovement, int alternateCycles)
Create a hybrid strategy.

Uses of Train in org.encog.neural.networks.training.strategy.end

Methods in org.encog.neural.networks.training.strategy.end with parameters of type Train

void	EndMinutesStrategy.init(Train train) Initialize this strategy.
void	EndMaxErrorStrategy.init(Train train) Initialize this strategy.
void	EndIterationsStrategy.init(Train train) Initialize this strategy.

Uses of Train in org.encog.neural.networks.training.svd

Classes in org.encog.neural.networks.training.svd that implement Train

class

SVDTraining Train a RBF neural network using a SVD.

Uses of Train in org.encog.neural.networks.training.svm

Classes in org.encog.neural.networks.training.svm that implement Train

class

SVMTrain Provides training for Support Vector Machine networks.

Uses of Train in org.encog.util.simple

Methods in org.encog.util.simple with parameters of type Train

static void	EncogUtility.trainConsole(Train train, BasicNetwork network, NeuralDataSet trainingSet, int minutes) Train the network, using the specified training algorithm, and send the output to the console.
static void	EncogUtility.trainDialog(Train train, BasicNetwork network, NeuralDataSet trainingSet) Train, using the specified training method, display progress to a dialog box.
static void	EncogUtility.trainToError(Train train, BasicNetwork network, NeuralDataSet trainingSet, double error) Train to a specific error, using the specified training method, send the output to the console.