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## Uses of Interface
org.encog.ml.MLError

Packages that use MLError
org.encog.ml.bayesian |
org.encog.ml.fitting.linear |
org.encog.ml.svm |
org.encog.neural.cpn |
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.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.neat

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

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.

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