2010 | OriginalPaper | Buchkapitel
On Automatic Design of Neuro-fuzzy Systems
verfasst von : Krzysztof Cpałka, Leszek Rutkowski, Meng Joo Er
Erschienen in: Artificial Intelligence and Soft Computing
Verlag: Springer Berlin Heidelberg
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In this paper we propose a new approach for automatic design of neuro-fuzzy systems. We apply evolutionary strategy to determine the number of rules, number of antecedents, number of inputs, and number of discretization points of neuro-fuzzy systems. Proper selection of these elements influences the accuracy of the system and its interpretability. The algorithm has been tested using well-known classification benchmarks.