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Volumn 3614, Issue PART II, 2005, Pages 514-523

Modeling nonlinear systems: An approach of boosted linguistic models

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL REACTORS; LEARNING SYSTEMS; LINGUISTICS; PH EFFECTS;

EID: 26944449296     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 3
    • 0036791593 scopus 로고    scopus 로고
    • Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models
    • Abonyi, J., Babuska, R., Szeifert, F., Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models, IEEE Trans. on Systems, Man, and Cybernetics-Part B, vol. 32, no. 5 (2002) 612-621
    • (2002) IEEE Trans. on Systems, Man, and Cybernetics-part B , vol.32 , Issue.5 , pp. 612-621
    • Abonyi, J.1    Babuska, R.2    Szeifert, F.3
  • 4
    • 26444441705 scopus 로고    scopus 로고
    • FCM-based adaptive fuzzy inferencesystem for coagulant dosing process in a water purification plant
    • Kwak, K. C., Chun, M. G., Ryu, J. W., Han, T. H., FCM-based adaptive fuzzy inferencesystem for coagulant dosing process in a water purification plant, Journal of Knowledge-Based Intelligent Engineering Systems, vol. 4, no. 4 (2000) 230-236
    • (2000) Journal of Knowledge-based Intelligent Engineering Systems , vol.4 , Issue.4 , pp. 230-236
    • Kwak, K.C.1    Chun, M.G.2    Ryu, J.W.3    Han, T.H.4
  • 6
    • 0030142628 scopus 로고    scopus 로고
    • Conditional fuzzy C-means
    • Pedrycz, W., Conditional fuzzy C-Means, Pattern Recognition Letters, vol. 17 (1996) 625-632
    • (1996) Pattern Recognition Letters , vol.17 , pp. 625-632
    • Pedrycz, W.1
  • 8
    • 0347411204 scopus 로고    scopus 로고
    • Combining boosting and evolutionary algorithms for learning of fuzzy classification rules
    • Hoffmann, F., Combining boosting and evolutionary algorithms for learning of fuzzy classification rules, Fuzzy Sets and Systems, vol. 141 (2004) 47-58
    • (2004) Fuzzy Sets and Systems , vol.141 , pp. 47-58
    • Hoffmann, F.1
  • 9
    • 0038391397 scopus 로고    scopus 로고
    • Boosting for tumor classification with gene expression data
    • Dettling, M., Bühlmann, P., Boosting for tumor classification with gene expression data, Bioinformatics, vol. 19 (2003) 1061-1069
    • (2003) Bioinformatics , vol.19 , pp. 1061-1069
    • Dettling, M.1    Bühlmann, P.2
  • 10
    • 0035481550 scopus 로고    scopus 로고
    • Fuzzy modeling with multivariate membership functions: Gray-box identification and control design
    • Abonyi, J., Babuska, R., Szeifert, F., Fuzzy modeling with multivariate membership functions: gray-box identification and control design, IEEE Trans. on Systems, Man, and Cybernectics, vol. 31, no, 5 (2001)
    • (2001) IEEE Trans. on Systems, Man, and Cybernectics , vol.31 , Issue.5
    • Abonyi, J.1    Babuska, R.2    Szeifert, F.3
  • 11
    • 0026849117 scopus 로고
    • Determining model structure for neural models by network stripping
    • Bhat, N., McAvoy, T., Determining model structure for neural models by network stripping, Computers and Chemical Engineering, vol.16 (1992) 271-281
    • (1992) Computers and Chemical Engineering , vol.16 , pp. 271-281
    • Bhat, N.1    McAvoy, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.