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Uses of MLInputOutput in org.encog.ensemble |
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Subinterfaces of MLInputOutput in org.encog.ensemble | |
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interface |
EnsembleML
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Classes in org.encog.ensemble that implement MLInputOutput | |
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class |
GenericEnsembleML
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Uses of MLInputOutput in org.encog.ml |
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Subinterfaces of MLInputOutput in org.encog.ml | |
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interface |
MLAutoAssocation
Defines a MLMethod that can handle autoassocation. |
interface |
MLClassification
This interface defines a MLMethod that is used for classification. |
interface |
MLRegression
Defines a Machine Learning Method that supports regression. |
Uses of MLInputOutput in org.encog.ml.bayesian |
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Classes in org.encog.ml.bayesian that implement MLInputOutput | |
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class |
BayesianNetwork
The Bayesian Network is a machine learning method that is based on probability, and particularly Bayes' Rule. |
Uses of MLInputOutput in org.encog.ml.fitting.gaussian |
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Classes in org.encog.ml.fitting.gaussian that implement MLInputOutput | |
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class |
GaussianFitting
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Uses of MLInputOutput in org.encog.ml.fitting.linear |
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Classes in org.encog.ml.fitting.linear that implement MLInputOutput | |
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class |
LinearRegression
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Uses of MLInputOutput in org.encog.ml.prg |
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Classes in org.encog.ml.prg that implement MLInputOutput | |
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class |
EncogProgram
Holds an Encog Programming Language (EPL) program. |
Uses of MLInputOutput in org.encog.ml.prg.train |
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Classes in org.encog.ml.prg.train that implement MLInputOutput | |
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class |
PrgPopulation
A population that contains EncogProgram's. |
Uses of MLInputOutput in org.encog.ml.svm |
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Classes in org.encog.ml.svm that implement MLInputOutput | |
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class |
SVM
This is a network that is backed by one or more Support Vector Machines (SVM). |
Uses of MLInputOutput in org.encog.neural.art |
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Classes in org.encog.neural.art that implement MLInputOutput | |
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class |
ART1
Implements an ART1 neural network. |
Uses of MLInputOutput in org.encog.neural.cpn |
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Classes in org.encog.neural.cpn that implement MLInputOutput | |
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class |
CPN
Counterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987. |
Uses of MLInputOutput in org.encog.neural.freeform |
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Classes in org.encog.neural.freeform that implement MLInputOutput | |
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class |
FreeformNetwork
Implements a freefrom neural network. |
Uses of MLInputOutput in org.encog.neural.neat |
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Classes in org.encog.neural.neat that implement MLInputOutput | |
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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 MLInputOutput in org.encog.neural.networks |
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Classes in org.encog.neural.networks that implement MLInputOutput | |
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class |
BasicNetwork
This class implements a neural network. |
Uses of MLInputOutput in org.encog.neural.pnn |
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Classes in org.encog.neural.pnn that implement MLInputOutput | |
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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 MLInputOutput in org.encog.neural.rbf |
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Classes in org.encog.neural.rbf that implement MLInputOutput | |
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class |
RBFNetwork
RBF neural network. |
Uses of MLInputOutput in org.encog.neural.som |
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Classes in org.encog.neural.som that implement MLInputOutput | |
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class |
SOM
A self organizing map neural network. |
Uses of MLInputOutput in org.encog.neural.thermal |
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Classes in org.encog.neural.thermal that implement MLInputOutput | |
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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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