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Volumn 13, Issue 6, 2000, Pages 705-717

Neuro-fuzzy modelling of power plant flue-gas emissions

Author keywords

[No Author keywords available]

Indexed keywords

FLUE GASES; FUZZY CONTROL; FUZZY SETS; INDUSTRIAL EMISSIONS; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 0034507417     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0952-1976(00)00054-3     Document Type: Article
Times cited : (35)

References (18)
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  • 3
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    • (1995) Proceedings of the IEEE , vol.83 , Issue.3 , pp. 378-406
    • Jang, J.1    Sun, C.2
  • 8
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    • Distributed logic processors trained under constraints using stochastic approximation techniques
    • Najim K., Ikonen E. Distributed logic processors trained under constraints using stochastic approximation techniques. IEEE Transactions on Systems, Man and Cybernetics - Part A. 29(4):1999;421-426.
    • (1999) IEEE Transactions on Systems, Man and Cybernetics - Part a , vol.29 , Issue.4 , pp. 421-426
    • Najim, K.1    Ikonen, E.2
  • 9
    • 0027593387 scopus 로고
    • Fuzzy neural networks and neurocomputations
    • Pedrycz W. Fuzzy neural networks and neurocomputations. Fuzzy Sets and Systems. 56:1993;1-28.
    • (1993) Fuzzy Sets and Systems , vol.56 , pp. 1-28
    • Pedrycz, W.1
  • 10
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    • Logic-based neurons: Extensions, uncertainty representation and development of fuzzy controllers
    • Pedrycz W. Logic-based neurons: extensions, uncertainty representation and development of fuzzy controllers. Fuzzy Sets and Systems. 66:1994;251-266.
    • (1994) Fuzzy Sets and Systems , vol.66 , pp. 251-266
    • Pedrycz, W.1
  • 11
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    • Fuzzy-set based models of neurons and knowledge-based networks
    • Pedrycz W., Rocha A. Fuzzy-set based models of neurons and knowledge-based networks. IEEE Transactions on Fuzzy Systems. 1(4):1993;254-266.
    • (1993) IEEE Transactions on Fuzzy Systems , vol.1 , Issue.4 , pp. 254-266
    • Pedrycz, W.1    Rocha, A.2
  • 15
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    • Structure identification of fuzzy model
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  • 16
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    • Fuzzy identification of systems and its applications to modeling and control
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    • Fuzzy B-spline membership function (BMF) and its applications in fuzzy-neural control
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.