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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