On complexity reduction of neuro-fuzzy systems

Authors:
Krzysztof Cpałka;Leszek Rutkowski
Affiliations:
Department of Computer Engineering, Czestochowa University of Technology and Department of Artificial Intelligence, WSHE University in Łódz, Poland;Department of Computer Engineering, Czestochowa University of Technology and Department of Artificial Intelligence, WSHE University in Łódz, Poland
Venue:
ISTASC'06 Proceedings of the 6th WSEAS International Conference on Systems Theory & Scientific Computation
Year:
2006

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Abstract

In the paper we develop a new method for complexity reduction of neuro-fuzzy systems. In subsequent stages we reduce number of inputs, number of rules and number of antecedents. The method is tested using Iris problem and Pima Indians Diabetes problem.