System approximation via GA-based fuzzy model

You Wei Teng, Wen June Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper constructs a GA-based fuzzy model to approximate an unknown system without pre-set parameters. A real-coded GA and the least-squares method are applied to search for the antecedent and consequent parameters, respectively. Furthermore, a specific performance index is proposed to determine the optimal number of rules for the fuzzy model, and the adequate number of chromosomes and generations for the real-coded GA such that the approximation accuracy is satisfied.

Original languageEnglish
Title of host publicationProceedings - APCCAS 2002
Subtitle of host publicationAsia-Pacific Conference on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages547-550
Number of pages4
ISBN (Electronic)0780376900
DOIs
StatePublished - 2002
EventAsia-Pacific Conference on Circuits and Systems, APCCAS 2002 - Denpasar, Bali, Indonesia
Duration: 28 Oct 200231 Oct 2002

Publication series

NameIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
Volume2

Conference

ConferenceAsia-Pacific Conference on Circuits and Systems, APCCAS 2002
Country/TerritoryIndonesia
CityDenpasar, Bali
Period28/10/0231/10/02

Keywords

  • Approximation algorithms
  • Biological cells
  • Bismuth
  • Electronic mail
  • Fuzzy sets
  • Fuzzy systems
  • Genetic algorithms
  • Genetic mutations
  • Performance analysis
  • Training data

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