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. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Gabryel, M., & Rutkowski, L. (2008). Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5097 LNAI, pp. 398–404). Springer Verlag. https://doi.org/10.1007/978-3-540-69731-2_39
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