Evolutionary Methods for Designing Neuro-fuzzy Modular Systems Combined by Bagging Algorithm

Authors:
Marcin Gabryel;Leszek Rutkowski
Affiliations:
Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland 42-200 and The Professor Kotarbinski Olsztyn Academy of Computer Science and Management, Olsztyn, Pola ...;Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland 42-200 and Department of Artificial Intelligence, WSHE University in Łódź, Łó ...
Venue:
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

In this paper we present the problem of designing modular systems combined with the Bagging Algorithm. As component classifiers the Mamdani-type neuro fuzzy-systems are applied and trained using evolutionary methods. Experimental investigations presented in this paper include the classification performed by the modular system built by means of classic Bagging algorithm and its modified version which assigns evolutionary chosen weights to base classifiers.