## Uses of Class
org.encog.ml.BasicML

- Packages that use BasicML
  Package | Description
  --- | ---
  org.encog.ca.universe.basic |
  org.encog.ml.bayesian |
  org.encog.ml.ea.population |
  org.encog.ml.hmm |
  org.encog.ml.prg.train |
  org.encog.ml.svm |
  org.encog.neural.art |
  org.encog.neural.bam |
  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 BasicML in org.encog.ca.universe.basic

    Subclasses of BasicML in org.encog.ca.universe.basic
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BasicUniverse`

  - ### Uses of BasicML in org.encog.ml.bayesian

    Subclasses of BasicML in org.encog.ml.bayesian
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BayesianNetwork` The Bayesian Network is a machine learning method that is based on probability, and particularly Bayes' Rule.

  - ### Uses of BasicML in org.encog.ml.ea.population

    Subclasses of BasicML in org.encog.ml.ea.population
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BasicPopulation` Defines the basic functionality for a population of genomes.

  - ### Uses of BasicML in org.encog.ml.hmm

    Subclasses of BasicML in org.encog.ml.hmm
    Modifier and Type | Class and Description
    --- | ---
    `class` | `HiddenMarkovModel` A Hidden Markov Model (HMM) is a Machine Learning Method that allows for predictions to be made about the hidden states and observations of a given system over time.

  - ### Uses of BasicML in org.encog.ml.prg.train

    Subclasses of BasicML in org.encog.ml.prg.train
    Modifier and Type | Class and Description
    --- | ---
    `class` | `PrgPopulation` A population that contains EncogProgram's.

  - ### Uses of BasicML in org.encog.ml.svm

    Subclasses of BasicML in org.encog.ml.svm
    Modifier and Type | Class and Description
    --- | ---
    `class` | `SVM` This is a network that is backed by one or more Support Vector Machines (SVM).

  - ### Uses of BasicML in org.encog.neural.art

    Subclasses of BasicML in org.encog.neural.art
    Modifier and Type | Class and Description
    --- | ---
    `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 BasicML in org.encog.neural.bam

    Subclasses of BasicML in org.encog.neural.bam
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BAM` Bidirectional associative memory (BAM) is a type of neural network developed by Bart Kosko in 1988.

  - ### Uses of BasicML in org.encog.neural.cpn

    Subclasses of BasicML in org.encog.neural.cpn
    Modifier and Type | Class and Description
    --- | ---
    `class` | `CPN` Counterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987.

  - ### Uses of BasicML in org.encog.neural.freeform

    Subclasses of BasicML in org.encog.neural.freeform
    Modifier and Type | Class and Description
    --- | ---
    `class` | `FreeformNetwork` Implements a freefrom neural network.

  - ### Uses of BasicML in org.encog.neural.neat

    Subclasses of BasicML in org.encog.neural.neat
    Modifier and Type | Class and Description
    --- | ---
    `class` | `NEATPopulation` A population for a NEAT or HyperNEAT system.

  - ### Uses of BasicML in org.encog.neural.networks

    Subclasses of BasicML in org.encog.neural.networks
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BasicNetwork` This class implements a neural network.

  - ### Uses of BasicML in org.encog.neural.pnn

    Subclasses of BasicML in org.encog.neural.pnn
    Modifier and Type | Class and Description
    --- | ---
    `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 BasicML in org.encog.neural.rbf

    Subclasses of BasicML in org.encog.neural.rbf
    Modifier and Type | Class and Description
    --- | ---
    `class` | `RBFNetwork` RBF neural network.

  - ### Uses of BasicML in org.encog.neural.som

    Subclasses of BasicML in org.encog.neural.som
    Modifier and Type | Class and Description
    --- | ---
    `class` | `SOM` A self organizing map neural network.

  - ### Uses of BasicML in org.encog.neural.thermal

    Subclasses of BasicML in org.encog.neural.thermal
    Modifier and Type | Class and Description
    --- | ---
    `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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