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Package org.knime.base.node.mine.bfn.fuzzy

Contains the learner and predictor to train fuzzy rules and apply them to unknown data.

See:
          Description

Class Summary
FuzzyBasisFunctionFactory Basic interface for all basis function algorithms.
FuzzyBasisFunctionLearnerNodeDialog A dialog for the fuzzy basisfunction learner to set the following properties: theta minus, theta plus, and a distance measurement.
FuzzyBasisFunctionLearnerNodeFactory  
FuzzyBasisFunctionLearnerNodeModel The fuzzy basis function model training FuzzyBasisFunctionLearnerRows.
FuzzyBasisFunctionLearnerNodeView  
FuzzyBasisFunctionLearnerRow Extends the general BasisFunctionLearnerRow object to act as rectangular fuzzy prototype.
FuzzyBasisFunctionPortObject  
FuzzyBasisFunctionPortObject.FuzzyCreator Used to create PNN predictor rows.
FuzzyBasisFunctionPredictorNodeFactory  
FuzzyBasisFunctionPredictorNodeModel The fuzzy basis function predictor model performing a prediction on the data from the first input and the fuzzy basisfunction model from the second.
FuzzyBasisFunctionPredictorRow  
 

Package org.knime.base.node.mine.bfn.fuzzy Description

Contains the learner and predictor to train fuzzy rules and apply them to unknown data.

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Copyright, 2003 - 2012. All rights reserved.
University of Konstanz, Germany.
Chair for Bioinformatics and Information Mining, Prof. Dr. Michael R. Berthold.
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