This is an evolutionary algorithm for fuzzy systems, a genetic algorithm is used to construct a fuzzy system able to fit the given training data. This fuzzy system can then be used as a prediction model, it's composed of fuzzy logic rules that provide a good lingustic representation.
|Author||Alexandre Bujard <firstname.lastname@example.org>|
|Date of publication||2012-08-08 13:29:39|
|Maintainer||Alexandre Bujard <email@example.com>|
|License||GPL (>= 2.0)|
fugeR.load: Load a fuzzy system.
fugeR-package: FUzzy GEnetic, a machine learning algorithm to construct...
fugeR.predict: Compute the prediction of a fuzzy system for the given input...
fugeR.run: R based Fuzzy logic evolutionary algorithm...
fugeR.save: Save a fuzzy system into a file.
fugeR.sfRun: The parallel version of fugeR...
fugeR.summary: Summarize a fuzzy system.
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