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Volumn , Issue , 2005, Pages 23-34

A new training algorithm for neuro-fuzzy networks

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY ORIENTATION; ITERATIVE CONSTRUCTION; LOCAL MODEL NETWORKS; NEURO-FUZZY NETWORK; STATISTICAL CRITERION; TRAINING ALGORITHMS; USER-DEFINED PARAMETERS; WELL-POSED PROBLEMS;

EID: 84883509844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (14)
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  • 4
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    • Identification and control of continuous-time nonlinear systems via dynamic neural networks
    • IEEE Transactions on
    • Ren, X., Rad, A., Chan, P., Wai, L.: Identification and control of continuous-time nonlinear systems via dynamic neural networks. Industrial Electronics, IEEE Transactions on 50 (2003) 478-486
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    • Ren, X.1    Rad, A.2    Chan, P.3    Wai, L.4
  • 7
    • 0032136218 scopus 로고    scopus 로고
    • Application of statistical information criteria for optimal fuzzy model construction
    • Yen, J., L., W.: Application of statistical information criteria for optimal fuzzy model construction. IEEE Transactions on Fuzzy Systems 6 (1998) 362-372
    • (1998) IEEE Transactions on Fuzzy Systems , vol.6 , pp. 362-372
    • Yen, J.L.W.1
  • 9
    • 0036791593 scopus 로고    scopus 로고
    • Modified gath-geva fuzzy clustering for identification of takagi-sugeno fuzzy models
    • IEEE
    • Abonyi, J., Babuska, R., Szeifert, F.: Modified gath-geva fuzzy clustering for identification of takagi-sugeno fuzzy models. In: IEEE Tarnsactions on systems, man. and Cybernetics. Volume 32., IEEE (2002) 612-621
    • (2002) IEEE Tarnsactions on Systems, Man. and Cybernetics , vol.32 , pp. 612-621
    • Abonyi, J.1    Babuska, R.2    Szeifert, F.3
  • 10
    • 19144367429 scopus 로고    scopus 로고
    • Identification of nonlinear multivariable systems by adaptive fuzzy takagi-sugeno model
    • Trabelsi, A., Lafont, F., Kamoun, M., G., E.: Identification of nonlinear multivariable systems by adaptive fuzzy takagi-sugeno model. International Journal of Computational Cognition (http://www.YangSky.com/yangijcc.htm) 2 (2004) 137-153
    • (2004) International Journal of Computational Cognition , vol.2 , pp. 137-153
    • Trabelsi, A.1    Lafont, F.2    Kamoun, M.G.E.3
  • 13
    • 0037361405 scopus 로고    scopus 로고
    • A robust nonlinear identification algorithm using press statistics and forward regression
    • IEEE
    • Hong, X., Sharkey, P., Warwick, K.: A robust nonlinear identification algorithm using press statistics and forward regression. In: IEEE Transactions on Neural Networks. Volume 14., IEEE (2003) 454-458
    • (2003) IEEE Transactions on Neural Networks , vol.14 , pp. 454-458
    • Hong, X.1    Sharkey, P.2    Warwick, K.3
  • 14
    • 2942624034 scopus 로고    scopus 로고
    • Artificial neural networks for fault detection in large-scale data acquisition systems
    • Jakubek, S., Strasser, T.: Artificial neural networks for fault detection in large-scale data acquisition systems. Engineering Applications of Artificial Intelligence 17 (2004) 233-248
    • (2004) Engineering Applications of Artificial Intelligence , vol.17 , pp. 233-248
    • Jakubek, S.1    Strasser, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.