Uses of Interface
org.encog.ml.MLInput

Packages that use MLInput

org.encog.ml	This package contains all of the classes for Machine Learning.
org.encog.ml.svm	This package contains all of the classes for support vector machines.
org.encog.neural.art	This package contains the classes for ART neural networks.
org.encog.neural.cpn	This package contains the classes for CPN networks.
org.encog.neural.neat
org.encog.neural.networks	This package contains the neural network machine learning methods.
org.encog.neural.pnn	This package contains the classes for the PNN.
org.encog.neural.rbf	This package contains classes for RBF networks.
org.encog.neural.som	This package contains classes for the SOM.
org.encog.neural.thermal	This package implements thermal neural networks, such as Hopfield and Boltzmann machines.

Uses of MLInput in org.encog.ml

Subinterfaces of MLInput in org.encog.ml

interface	MLAutoAssocation Defines a MLMethod that can handle autoassocation.
interface	MLClassification This interface defines a MLMethod that is used for classification.
interface	MLInputOutput This is a convenience interface that combines MLInput and MLOutput.
interface	MLRegression Defines a Machine Learning Method that supports regression.

Uses of MLInput in org.encog.ml.svm

Classes in org.encog.ml.svm that implement MLInput

class

SVM This is a network that is backed by one or more Support Vector Machines (SVM).

Uses of MLInput in org.encog.neural.art

Classes in org.encog.neural.art that implement MLInput

class

ART1 Implements an ART1 neural network.

Uses of MLInput in org.encog.neural.cpn

Classes in org.encog.neural.cpn that implement MLInput

class

CPN Counterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987.

Uses of MLInput in org.encog.neural.neat

Classes in org.encog.neural.neat that implement MLInput

class

NEATNetwork Implements a NEAT network as a synapse between two layers.

Uses of MLInput in org.encog.neural.networks

Classes in org.encog.neural.networks that implement MLInput

class

BasicNetwork This class implements a neural network.

Uses of MLInput in org.encog.neural.pnn

Classes in org.encog.neural.pnn that implement MLInput

class

BasicPNN This class implements either a: Probabilistic Neural Network (PNN) General Regression Neural Network (GRNN) To use a PNN specify an output mode of classification, to make use of a GRNN specify either an output mode of regression or un-supervised autoassociation.

Uses of MLInput in org.encog.neural.rbf

Classes in org.encog.neural.rbf that implement MLInput

class

RBFNetwork RBF neural network.

Uses of MLInput in org.encog.neural.som

Classes in org.encog.neural.som that implement MLInput

class

SOM A self organizing map neural network.

Uses of MLInput in org.encog.neural.thermal

Classes in org.encog.neural.thermal that implement MLInput

class	BoltzmannMachine Implements a Boltzmann machine.
class	HopfieldNetwork Implements a Hopfield network.
class	ThermalNetwork The thermal network forms the base class for Hopfield and Boltzmann machines.