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

Packages that use MLInput
org.encog.ensemble |
org.encog.ml |
org.encog.ml.bayesian |
org.encog.ml.fitting.gaussian |
org.encog.ml.fitting.linear |
org.encog.ml.prg |
org.encog.ml.prg.train |
org.encog.ml.svm |
org.encog.neural.art |
org.encog.neural.cpn |
org.encog.neural.freeform |
org.encog.neural.neat |
org.encog.neural.networks |
org.encog.neural.pnn |
org.encog.neural.rbf |
org.encog.neural.som |
org.encog.neural.thermal |

Uses of MLInput in org.encog.ensemble

Subinterfaces of MLInput in org.encog.ensemble
`interface` | `EnsembleML`

Classes in org.encog.ensemble that implement MLInput
`class` | `GenericEnsembleML`

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.bayesian

Classes in org.encog.ml.bayesian that implement MLInput
`class` | `BayesianNetwork` The Bayesian Network is a machine learning method that is based on probability, and particularly Bayes' Rule.

Uses of MLInput in org.encog.ml.fitting.gaussian

Classes in org.encog.ml.fitting.gaussian that implement MLInput
`class` | `GaussianFitting`

Uses of MLInput in org.encog.ml.fitting.linear

Classes in org.encog.ml.fitting.linear that implement MLInput
`class` | `LinearRegression`

Uses of MLInput in org.encog.ml.prg

Classes in org.encog.ml.prg that implement MLInput
`class` | `EncogProgram` Holds an Encog Programming Language (EPL) program.

Uses of MLInput in org.encog.ml.prg.train

Classes in org.encog.ml.prg.train that implement MLInput
`class` | `PrgPopulation` A population that contains EncogProgram's.

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.freeform

Classes in org.encog.neural.freeform that implement MLInput
`class` | `FreeformNetwork` Implements a freefrom neural network.

Uses of MLInput in org.encog.neural.neat

Classes in org.encog.neural.neat that implement MLInput
`class` | `NEATNetwork` NEAT networks relieve the programmer of the need to define the hidden layer structure of the neural network.
`class` | `NEATPopulation` A population for a NEAT or HyperNEAT system.

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.

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