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Volumn 119, Issue 2, 2001, Pages 313-320

Universal approximations of continuous fuzzy-valued functions by multi-layer regular fuzzy neural networks

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DECISION THEORY; FUNCTIONS; FUZZY SETS; POLYNOMIALS;

EID: 0035313691     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(99)00132-3     Document Type: Article
Times cited : (34)

References (13)
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    • Buckley, J.J.1    Hayashi, Y.2
  • 2
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    • Can neural nets be universal approximators for fuzzy functions
    • Buckley J.J., Hayashi Y. Can neural nets be universal approximators for fuzzy functions. Fuzzy Sets and Systems. 101:1999;323-330.
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  • 3
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    • Neural network and its approximation problems in system identification
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    • Chen, T.P.1
  • 4
    • 0027698748 scopus 로고
    • Approximation of continuous functionals by neural networks with applications to dynamic systems
    • Chen T., Chen H. Approximation of continuous functionals by neural networks with applications to dynamic systems. IEEE Trans. Neural Networks. 4(6):1993;910-918.
    • (1993) IEEE Trans. Neural Networks , vol.4 , Issue.6 , pp. 910-918
    • Chen, T.1    Chen, H.2
  • 7
    • 0025799121 scopus 로고
    • Representation of functions by superposition of a step or sigmoidal function and their applications to neural network theory
    • Ito Y. Representation of functions by superposition of a step or sigmoidal function and their applications to neural network theory. Neural Networks. 4:1991;385-394.
    • (1991) Neural Networks , vol.4 , pp. 385-394
    • Ito, Y.1
  • 8
    • 0025751820 scopus 로고
    • Approximation capabilities of multilayer feedforward networks
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    • Kurt, H.1
  • 9
    • 0008718625 scopus 로고    scopus 로고
    • Analyses of regular fuzzy neural networks for approximation capabilities
    • Liu P.Y. Analyses of regular fuzzy neural networks for approximation capabilities. Fuzzy Sets and Systems. 114:2000;329-338.
    • (2000) Fuzzy Sets and Systems , vol.114 , pp. 329-338
    • Liu, P.Y.1
  • 10
    • 0031294887 scopus 로고    scopus 로고
    • Universal approximation of a class of continuous fuzzy valued functions by regular fuzzy neural networks
    • Liu P.Y., Wang H.X. Universal approximation of a class of continuous fuzzy valued functions by regular fuzzy neural networks. Electron. Sinca. 25(11):1997;41-45.
    • (1997) Electron. Sinca. , vol.25 , Issue.11 , pp. 41-45
    • Liu, P.Y.1    Wang, H.X.2
  • 11
    • 0010333860 scopus 로고
    • Research on analysis methods of structural approximations based on artificial neural networks
    • Luo J.G., Yu J., Wang H.et al. Research on analysis methods of structural approximations based on artificial neural networks. Sci. China Ser. A. 24(6):1994;653-658.
    • (1994) Sci. China Ser. a , vol.24 , Issue.6 , pp. 653-658
    • Luo, J.G.1    Yu, J.2    Wang, H.3
  • 12
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    • A note on the extension principle for fuzzy sets
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  • 13
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    • Universal approximation using feed-forward neural networks: A survey of some existing methods, and some new results
    • Scarselli F., Tsoi A.C. Universal approximation using feed-forward neural networks: a survey of some existing methods, and some new results. Neural Networks. 11(1):1998;15-37.
    • (1998) Neural Networks , vol.11 , Issue.1 , pp. 15-37
    • Scarselli, F.1    Tsoi, A.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.