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Author Gorrini, V. ♦ Salome, T. ♦ Bersini, H.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1995
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy systems ♦ Function approximation ♦ Neural networks ♦ Biological systems ♦ Approximation algorithms ♦ Buildings ♦ Adaptive control ♦ System identification ♦ Fuzzy control ♦ Automatic control
Abstract This paper presents an algorithm developed in a biological spirit and dedicated to the incremental building of fuzzy systems for function approximation. It is called EFUSS (evolving fuzzy systems structure) and aims at automatically and incrementally finding the minimal number of membership functions along with their appropriate shaping. The main mechanisms constituting our algorithm are to: observe the oscillatory tendency of the parameters defining the output part of the fuzzy rules, then detect the most oscillatory one, and finally supply the zone covered by the input of this strongly oscillating rule with a complementary fuzzy rule.<<ETX>>
Description Author affiliation: IRIDIA, Univ. Libre de Bruxelles, Belgium (Gorrini, V.; Salome, T.; Bersini, H.)
ISBN 0780324617
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1995-03-20
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 529.07 kB
Page Count 8
Starting Page 919
Ending Page 926


Source: IEEE Xplore Digital Library