Flexible Takagi-Sugeno neuro-fuzzy structures

Authors:
Krzysztof Cpałka;Leszek Rutkowski
Affiliations:
Department of Computer Engineering, Technical University of Czestochowa and Department of Artificial Intelligence, WSHE, University in Łódź, Poland;Department of Computer Engineering, Technical University of Czestochowa and Department of Artificial Intelligence, WSHE, University in Łódź, Poland
Venue:
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
Year:
2005

Citing 9
Cited 1

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Abstract

In the paper we study a new class of Takagi-Sugeno fuzzy systems. Due to incorporation of various parameters and weights into construction of such systems their performance is significantly improved. The results are illustrated on a typical benchmark problem.