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Volumn 31, Issue 2, 2002, Pages 309-326

Neuro-fuzzy TSK network for approximation of static and dynamic functions

Author keywords

Approximation; Learning algorithms; Neurofuzzy networks

Indexed keywords

APPROXIMATION THEORY; BACKPROPAGATION; FUNCTIONS; LEARNING ALGORITHMS; NONLINEAR CONTROL SYSTEMS; ONLINE SYSTEMS;

EID: 0036909878     PISSN: 03248569     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (16)
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    • Babuska, R. and Verbruggen H.B. (1998) Constructing fuzzy models by product space clustering. In: H. Hellendoorn, D. Driankov, eds., Fuzzy Model Identification. Springer, Berlin, 53-90.
    • (1998) Fuzzy Model Identification , pp. 53-90
    • Babuska, R.1    Verbruggen, H.B.2
  • 3
    • 0024701488 scopus 로고
    • Unsupervised optimal fuzzy clustering
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  • 4
    • 0035360372 scopus 로고    scopus 로고
    • Designing fuzzy inference system from data: An interpretability-oriented review
    • Guillaume, S. (2001) Designing fuzzy inference system from data: an interpretability-oriented review. IEEE Trans. Fuzzy Syst., 9, 426-443.
    • (2001) IEEE Trans. Fuzzy Syst. , vol.9 , pp. 426-443
    • Guillaume, S.1
  • 5
    • 0018057468 scopus 로고
    • Fuzzy clustering with a fuzzy covariance matrix
    • San Diego
    • Gustafson, D. and Kessel, W. (1979) Fuzzy clustering with a fuzzy covariance matrix. Proc. IEEE CDC, San Diego, 761-766.
    • (1979) Proc. IEEE CDC , pp. 761-766
    • Gustafson, D.1    Kessel, W.2
  • 6
    • 0000643406 scopus 로고    scopus 로고
    • Development of fuzzy neural networks
    • W. Pedrycz, ed., Dordrecht
    • Ishibuchi, H. (1997) Development of fuzzy neural networks. In: W. Pedrycz, ed., Fuzzy Modelling - Paradigm and Practice, Dordrecht, 185-202.
    • (1997) Fuzzy Modelling - Paradigm and Practice , pp. 185-202
    • Ishibuchi, H.1
  • 8
    • 84941531642 scopus 로고
    • A new approach to fuzzy neural system modelling
    • Lin, Y. and Cunningham III, G. (1995) A new approach to fuzzy neural system modelling. IEEE Trans. Fuzzy Systems, 3, 190-198.
    • (1995) IEEE Trans. Fuzzy Systems , vol.3 , pp. 190-198
    • Lin, Y.1    Cunningham G. III2
  • 9
    • 0034187785 scopus 로고    scopus 로고
    • Neuro-fuzzy rule generation: Survey in soft computing framework
    • Mitra, S. and Hayashi, Y. (2000) Neuro-fuzzy rule generation: survey in soft computing framework. IEEE Trans. Neural Networks, 11, 748-768.
    • (2000) IEEE Trans. Neural Networks , vol.11 , pp. 748-768
    • Mitra, S.1    Hayashi, Y.2
  • 10
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • Narendra, K.S. and Parthasarathy, K. (1990) Identification and control of dynamical systems using neural networks. IEEE Trans. Neural Networks, 1, 4-27.
    • (1990) IEEE Trans. Neural Networks , vol.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 12
    • 0029360028 scopus 로고
    • On cluster validity for the fuzzy c-means model
    • Pal, N.R. and Bezdek, J.C. (1995) On cluster validity for the fuzzy c-means model. IEEE Trans. Fuzzy Systems, 3, 370-379.
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    • Pal, N.R.1    Bezdek, J.C.2
  • 13
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    • Fuzzy identification of systems and its application to modelling and control
    • Takagi, T. and Sugeno, M. (1985) Fuzzy identification of systems and its application to modelling and control. IEEE Trans. SMC, 116-132.
    • (1985) IEEE Trans. SMC , pp. 116-132
    • Takagi, T.1    Sugeno, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.