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Volumn 3, Issue 1, 2004, Pages 63-82

Robust solution to fuzzy identification problem with uncertain data by regularization: Fuzzy approximation to physical fitness with real world medical data: An application

Author keywords

Fuzzy modelling; Least squares problems; Regularization; Robust identification; Robustness; Second order cone programming; Uncertainty

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTER SIMULATION; DIFFERENTIAL EQUATIONS; FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); NONLINEAR EQUATIONS; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS);

EID: 3543083288     PISSN: 15684539     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:FODM.0000013072.42941.0d     Document Type: Article
Times cited : (18)

References (17)
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  • 2
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    • Bodenhofer, U.1    Bauer, P.2
  • 4
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    • Parameter estimation in the presence of bounded data uncertainties
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    • Chandrasekaran, S.1    Golub, G.H.2    Gu, M.3    Sayed, A.H.4
  • 5
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    • Image reconstruction and restoration: Overview of common estimation problems
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  • 6
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    • Constructing fuzzy models with linguistic integrity from numerical data-AFRELI algorithm
    • Espinosa, J. and J. Vandewalle. (2000). "Constructing Fuzzy Models with Linguistic Integrity from Numerical Data-AFRELI Algorithm," IEEE Transactions on Fuzzy Systems 8(5), 591-600.
    • (2000) IEEE Transactions on Fuzzy Systems , vol.8 , Issue.5 , pp. 591-600
    • Espinosa, J.1    Vandewalle, J.2
  • 8
    • 0041037182 scopus 로고
    • Optimization of weighting constant for regularization in least squares system identification
    • Furuya, M. (1989). "Optimization of Weighting Constant for Regularization in Least Squares System Identification," Transactions on IEICE A J72A, 1012-1015.
    • (1989) Transactions on IEICE A J72A , pp. 1012-1015
    • Furuya, M.1
  • 12
    • 0015660455 scopus 로고
    • The application of constrained least square estimation to image restoration by digital computer
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    • Fuzzy identification of systems and its applications to modeling and control
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.