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Volumn 3, Issue , 2001, Pages 1140-1143

Evolutionary computation based identification of a monotonic Takagi-Sugeno-Kang fuzzy system

Author keywords

Constraint optimization; Evolutionary computation; Fuzzy system identification; Monotonic function; Takagi Sugeno Kang fuzzy system

Indexed keywords

EVOLUTIONARY COMPUTATION; MONOTONIC FUNCTION; TAKAGI-SUGENO-KANG FUZZY SYSTEM;

EID: 0036343245     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (14)
  • 1
    • 84990556304 scopus 로고
    • Application of the back propagation neural network algorithm with monotonicity constraints for two-group classification problems
    • (1993) Decision Sciences , vol.24 , pp. 60-75
    • Archer, N.P.1    Wang, S.2
  • 5
    • 4243668678 scopus 로고    scopus 로고
    • The development of magnet sensor for plate control
    • Tech. Report, Pohang University of Science and Technology
    • (1996)
    • Lee, J.S.1    Kang, B.G.2
  • 6
    • 0003429792 scopus 로고
    • A new genetic algorithm for the evolution of fuzzy systems
    • Ph.D. thesis, University of Oxford
    • (1995)
    • Leitch, D.D.1
  • 7
    • 0034140584 scopus 로고    scopus 로고
    • Ensuring monotonic gain characteristics in estimated models by fuzzy model structures
    • (2000) Automatica , vol.36 , pp. 311-317
    • Lindskog, P.1    Ljung, L.2
  • 10
    • 4243304102 scopus 로고    scopus 로고
    • Constrained optimization of fuzzy logic systems with its application to current prediction for automatic crane operations
    • Ph.D. dissertation, Pohang University of Science and Technology
    • (1998)
    • Park, S.-Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.