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Volumn 3, Issue , 2002, Pages 1463-1466

Optimization of fuzzy sets of fuzzy control system based on hierarchical genetic algorithms

Author keywords

Fuzzy control; Fuzzy set; Hierarchy genetic algorithm; Membership function

Indexed keywords

FUZZY CONTROL; GENETIC ALGORITHMS; HIERARCHICAL SYSTEMS; MEMBERSHIP FUNCTIONS; OPTIMIZATION; REDUNDANCY;

EID: 0038675377     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (3)
  • 1
    • 0022098324 scopus 로고
    • An introductory survey of fuzzy control
    • Sugeno M. An introductory survey of fuzzy control. Information Science [J]. 1985. 36.59-83.
    • (1985) Information Science [J] , vol.36 , pp. 59-83
    • Sugeno, M.1
  • 2
    • 0037648025 scopus 로고    scopus 로고
    • RBF network based parameters obtaining for Takagi-Sugeno fuzzy controller
    • Jing Ning, Pan Junmin. RBF Network Based Parameters Obtaining for Takagi-Sugeno Fuzzy Controller. Journal of Shaihai Jiaotong University. 1998, Vol.32, No.6:98-101.
    • (1998) Journal of Shaihai Jiaotong University , vol.32 , Issue.6 , pp. 98-101
    • Jing, N.1    Pan, J.2
  • 3
    • 0034156471 scopus 로고    scopus 로고
    • A new hierarchical genetic algorithm for training of RBF neural networks
    • Zheng Pi'e, Ma Yanhua. A New Hierarchical Genetic Algorithm for Training of RBF Neural Networks. Control and Decision. 2000, Vol.15, No.2:165-168.
    • (2000) Control and Decision , vol.15 , Issue.2 , pp. 165-168
    • Zheng, P.1    Ma, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.