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Volumn 3, Issue , 2004, Pages 2392-2397

Structure selection for nonlinear models with mixed discrete and continuous inputs: A comparative study

Author keywords

Fuzzy clustering; Fuzzy modeling; Regression models; Structure selection

Indexed keywords

FUZZY CLUSTERING; FUZZY MODELING; REGRESSION MODELS; STRUCTURE SELECTION;

EID: 15744390388     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2004.1400687     Document Type: Conference Paper
Times cited : (14)

References (17)
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    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 2
    • 0027335201 scopus 로고
    • A new method for identifying orders of input-output models for nonlinear dynamic system, San Francisco, California USA
    • X. He and H. Asada, "A new method for identifying orders of input-output models for nonlinear dynamic system," in Proceedings of the American Control Conference, San Francisco, California USA, 1993, pp. 2520-2523.
    • (1993) Proceedings of the American Control Conference , pp. 2520-2523
    • He, X.1    Asada, H.2
  • 5
    • 21444441545 scopus 로고    scopus 로고
    • Selecting input variables for fuzzy models
    • S.L. Chiu, "Selecting input variables for fuzzy models," Journal of Inteligent and Fuzzy Systems, vol. 4, pp. 243-256, 1996.
    • (1996) Journal of Inteligent and Fuzzy Systems , vol.4 , pp. 243-256
    • Chiu, S.L.1
  • 7
    • 0000906136 scopus 로고    scopus 로고
    • Input selection and partition validation for fuzzy modelling using neural network
    • D.A. Linkens and M.-Y. Chen, "Input selection and partition validation for fuzzy modelling using neural network," Fuzzy Sets and Systems, pp. 299-308, 1999.
    • (1999) Fuzzy Sets and Systems , pp. 299-308
    • Linkens, D.A.1    Chen, M.-Y.2
  • 15
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines
    • J.H. Friedman, "Multivariate adaptive regression splines," The Annals of Statistics, vol. 19, no. 1, pp. 1-141, 1991.
    • (1991) The Annals of Statistics , vol.19 , Issue.1 , pp. 1-141
    • Friedman, J.H.1
  • 16
    • 84947630316 scopus 로고
    • ASMOD - An algorithm for adaptive spline modeling of observation data
    • T. Kavli, "ASMOD - an algorithm for adaptive spline modeling of observation data," International Journal of Control, vol. 58, no. 4, pp. 947-967, 1993.
    • (1993) International Journal of Control , vol.58 , Issue.4 , pp. 947-967
    • Kavli, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.