Uses of Interface
org.encog.ml.MLError

Packages that use MLError
org.encog.ml.bayesian   
org.encog.ml.fitting.linear   
org.encog.ml.prg   
org.encog.ml.svm   
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   
 

Uses of MLError in org.encog.ml.bayesian
 

Classes in org.encog.ml.bayesian that implement MLError
 class BayesianNetwork
          The Bayesian Network is a machine learning method that is based on probability, and particularly Bayes' Rule.
 

Uses of MLError in org.encog.ml.fitting.linear
 

Classes in org.encog.ml.fitting.linear that implement MLError
 class LinearRegression
           
 

Uses of MLError in org.encog.ml.prg
 

Classes in org.encog.ml.prg that implement MLError
 class EncogProgram
          Holds an Encog Programming Language (EPL) program.
 

Uses of MLError in org.encog.ml.svm
 

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

Uses of MLError in org.encog.neural.cpn
 

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

Uses of MLError in org.encog.neural.freeform
 

Classes in org.encog.neural.freeform that implement MLError
 class FreeformNetwork
          Implements a freefrom neural network.
 

Uses of MLError in org.encog.neural.neat
 

Classes in org.encog.neural.neat that implement MLError
 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 MLError in org.encog.neural.networks
 

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

Uses of MLError in org.encog.neural.pnn
 

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

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

Uses of MLError in org.encog.neural.som
 

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



Copyright © 2014. All Rights Reserved.