Uses of Class
org.encog.ml.BasicML

Packages that use BasicML
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
 class BasicUniverse
           
 

Uses of BasicML in org.encog.ml.bayesian
 

Subclasses of BasicML in org.encog.ml.bayesian
 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
 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
 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
 class PrgPopulation
          A population that contains EncogProgram's.
 

Uses of BasicML in org.encog.ml.svm
 

Subclasses of BasicML in org.encog.ml.svm
 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
 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
 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
 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
 class FreeformNetwork
          Implements a freefrom neural network.
 

Uses of BasicML in org.encog.neural.neat
 

Subclasses of BasicML in org.encog.neural.neat
 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
 class BasicNetwork
          This class implements a neural network.
 

Uses of BasicML in org.encog.neural.pnn
 

Subclasses of BasicML in org.encog.neural.pnn
 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
 class RBFNetwork
          RBF neural network.
 

Uses of BasicML in org.encog.neural.som
 

Subclasses of BasicML in org.encog.neural.som
 class SOM
          A self organizing map neural network.
 

Uses of BasicML in org.encog.neural.thermal
 

Subclasses of BasicML in org.encog.neural.thermal
 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.
 



Copyright © 2014. All Rights Reserved.