An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-fuzzy Systems

Authors:
Krzysztof Cpalka;Leszek Rutkowski
Affiliations:
Department of Computer Engineering, Czestochowa University of Technology, Poland and Department of Artificial Intelligence, Academy of Humanities and Economics, Poland;Department of Computer Engineering, Czestochowa University of Technology, Poland and Department of Artificial Intelligence, Academy of Humanities and Economics, Poland
Venue:
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

In the paper we develop a new method for designing and reduction of neuro-fuzzy systems. The method is based on the concept of the weighted triangular norms. In subsequent stages we reduce number of inputs, number of rules and number of antecedents. Simulation results are given.