Uses of Interface
org.encog.ml.MLOutput

Packages that use MLOutput
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.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 MLOutput in org.encog.ml
 

Subinterfaces of MLOutput 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 MLOutput in org.encog.ml.svm
 

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

Uses of MLOutput in org.encog.neural.art
 

Classes in org.encog.neural.art that implement MLOutput
 class ART1
          Implements an ART1 neural network.
 

Uses of MLOutput in org.encog.neural.cpn
 

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

Uses of MLOutput in org.encog.neural.neat
 

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

Uses of MLOutput in org.encog.neural.networks
 

Classes in org.encog.neural.networks that implement MLOutput
 class BasicNetwork
          This class implements a neural network.
 

Uses of MLOutput in org.encog.neural.pnn
 

Classes in org.encog.neural.pnn that implement MLOutput
 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 MLOutput in org.encog.neural.rbf
 

Classes in org.encog.neural.rbf that implement MLOutput
 class RBFNetwork
          RBF neural network.
 

Uses of MLOutput in org.encog.neural.som
 

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

Uses of MLOutput in org.encog.neural.thermal
 

Classes in org.encog.neural.thermal that implement MLOutput
 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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