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

Packages that use BasicNetwork

org.encog.mathutil.randomize
org.encog.neural.networks	This package contains the neural network machine learning methods.
org.encog.neural.networks.layers
org.encog.neural.networks.structure	This package contains classes used to handle the structure of a neural network.
org.encog.neural.networks.training.anneal	This package trains neural network using simulated annealing.
org.encog.neural.networks.training.concurrent.jobs	This package provides the performers to perform concurrent training jobs.
org.encog.neural.networks.training.genetic	This package provides genetic training for neural networks.
org.encog.neural.networks.training.lma	This package provides Levenberg Marquardt training for neural networks.
org.encog.neural.networks.training.simple	This package provides simple ADALINE training.
org.encog.neural.prune	This package contains the classes to prune a neural network.
org.encog.neural.som.training.basic	This package implements neighborhood training for the SOM.
org.encog.platformspecific.j2se
org.encog.util.benchmark
org.encog.util.simple

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	NguyenWidrowRandomizer.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.
void	BasicRandomizer.randomize(BasicNetwork network, int fromLayer) Randomize one level of a neural 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) Compare the two neural networks.
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	BasicLayer.getNetwork()
BasicNetwork	Layer.getNetwork()

Methods in org.encog.neural.networks.layers with parameters of type BasicNetwork

void	BasicLayer.setNetwork(BasicNetwork network) Set the network for this layer.
void	Layer.setNetwork(BasicNetwork network) Set the network that this layer belongs to.

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.anneal

Methods in org.encog.neural.networks.training.anneal that return BasicNetwork

BasicNetwork

NeuralSimulatedAnnealing.getMethod() Get the current best machine learning method from the training.

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

NeuralSimulatedAnnealing(BasicNetwork network, CalculateScore calculateScore, double startTemp, double stopTemp, int cycles)
Construct a simulated annleaing trainer for a feedforward neural 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.genetic

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

NeuralGeneticAlgorithm(BasicNetwork network, Randomizer randomizer, CalculateScore calculateScore, int populationSize, double mutationPercent, double percentToMate)
Construct a neural genetic algorithm.

NeuralGenome(BasicNetwork network)
Construct a neural genome.

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.

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.neural.som.training.basic

Methods in org.encog.neural.som.training.basic that return BasicNetwork

BasicNetwork

BasicTrainSOM.getMethod() Get the current best machine learning method from the training.

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.