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

Packages that use MLProperties
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.bam | THis package contains the classes for BAM 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 MLProperties in org.encog.ml

Classes in org.encog.ml that implement MLProperties
`class` | `BasicML` A class that provides basic property functionality for the MLProperties interface.

Uses of MLProperties in org.encog.ml.svm

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

Uses of MLProperties in org.encog.neural.art

Classes in org.encog.neural.art that implement MLProperties
`class` | `ART` Adaptive Resonance Theory (ART) is a form of neural network developed by Stephen Grossberg and Gail Carpenter.
`class` | `ART1` Implements an ART1 neural network.

Uses of MLProperties in org.encog.neural.bam

Classes in org.encog.neural.bam that implement MLProperties
`class` | `BAM` Bidirectional associative memory (BAM) is a type of neural network developed by Bart Kosko in 1988.

Uses of MLProperties in org.encog.neural.cpn

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

Uses of MLProperties in org.encog.neural.neat

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

Uses of MLProperties in org.encog.neural.networks

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

Uses of MLProperties in org.encog.neural.pnn

Classes in org.encog.neural.pnn that implement MLProperties
`class` | `AbstractPNN` Abstract class to build PNN networks upon.
`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 MLProperties in org.encog.neural.rbf

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

Uses of MLProperties in org.encog.neural.som

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

Uses of MLProperties in org.encog.neural.thermal

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