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Volumn 79, Issue 1, 1996, Pages 127-140

Process modelling and fault diagnosis using fuzzy neural networks

Author keywords

Fault diagnosis; Fuzzy models; Fuzzy neural networks; NARMAX model; Neural networks; Nonlinear process modelling

Indexed keywords


EID: 0001146813     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-0114(95)00295-2     Document Type: Article
Times cited : (49)

References (14)
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  • 4
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    • Cybenko, G.1
  • 5
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    • Haesloop, D.1    Holt, B.R.2
  • 10
    • 0026923902 scopus 로고
    • On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
    • S. Horikawa, T. Furuhashi and Y. Uchikawa, On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm, IEEE Trans. Neural Networks 3 (1992) 801-806.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 801-806
    • Horikawa, S.1    Furuhashi, T.2    Uchikawa, Y.3
  • 11
    • 0025920031 scopus 로고
    • Fault diagnosis in complex chemical plants using artificial neural networks
    • J.C. Hoskins, K.M. Kaliyur and D.M. Himmelblau, Fault diagnosis in complex chemical plants using artificial neural networks. A.I.Ch.E. J. 37 (1991) 137-141.
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  • 12
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  • 13
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    • Johansen, T.A.1    Foss, B.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.