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## Uses of Interface
org.encog.ml.MLOutput

Packages that use MLOutput
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 MLOutput in org.encog.ml

Subinterfaces of MLOutput 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 MLOutput in org.encog.ml.svm

Classes in org.encog.ml.svm that implement MLOutput
`class` | `SVM` This is a network that is backed by one or more Support Vector Machines (SVM).

Uses of MLOutput in org.encog.neural.art

Classes in org.encog.neural.art that implement MLOutput
`class` | `ART1` Implements an ART1 neural network.

Uses of MLOutput in org.encog.neural.cpn

Classes in org.encog.neural.cpn that implement MLOutput
`class` | `CPN` Counterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987.

Uses of MLOutput in org.encog.neural.neat

Classes in org.encog.neural.neat that implement MLOutput
`class` | `NEATNetwork` Implements a NEAT network as a synapse between two layers.

Uses of MLOutput in org.encog.neural.networks

Classes in org.encog.neural.networks that implement MLOutput
`class` | `BasicNetwork` This class implements a neural network.

Uses of MLOutput in org.encog.neural.pnn

Classes in org.encog.neural.pnn that implement MLOutput
`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 MLOutput in org.encog.neural.rbf

Classes in org.encog.neural.rbf that implement MLOutput
`class` | `RBFNetwork` RBF neural network.

Uses of MLOutput in org.encog.neural.som

Classes in org.encog.neural.som that implement MLOutput
`class` | `SOM` A self organizing map neural network.

Uses of MLOutput in org.encog.neural.thermal

Classes in org.encog.neural.thermal that implement MLOutput
`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.

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