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Volumn , Issue , 2008, Pages 41-46

Evolving fuzzy inferential sensors for process industry

Author keywords

[No Author keywords available]

Indexed keywords

CATALYSIS; CHEMICAL PROPERTIES; CURVE FITTING; FUZZY SYSTEMS; GENETIC PROGRAMMING; LEARNING ALGORITHMS; LEARNING SYSTEMS; PARAMETER ESTIMATION; PROCESS ENGINEERING; SENSORS;

EID: 50149101941     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GEFS.2008.4484565     Document Type: Conference Paper
Times cited : (11)

References (17)
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    • (2007) Advances in Industrial Control Series
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  • 2
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    • Soft Sensor Development Using Genetic Programming
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    • (2001) Proceedings of QECCO , pp. 1346-1351
    • Kordon, A.1    Smits, G.2
  • 4
    • 2342567014 scopus 로고    scopus 로고
    • Soft sensing modeling based on support vector machine and Bayesian model selection
    • W. Yan, H. Shao, X. Wang, Soft sensing modeling based on support vector machine and Bayesian model selection, Computers and Chemical Engineering, Vol. 28, pp. 1489-1498.
    • Computers and Chemical Engineering , vol.28 , pp. 1489-1498
    • Yan, W.1    Shao, H.2    Wang, X.3
  • 5
    • 0033691089 scopus 로고    scopus 로고
    • Hybrid Modelling of Biotechnological Processes using Neural Networks
    • L. Chen, O. Bernard, G. Bastin, P. Angelov, Hybrid Modelling of Biotechnological Processes using Neural Networks. Control Engineering Practice, vol.8. No7, 2000, pp.821-827.
    • (2000) Control Engineering Practice , vol.8 , Issue.NO7 , pp. 821-827
    • Chen, L.1    Bernard, O.2    Bastin, G.3    Angelov, P.4
  • 6
    • 0037114379 scopus 로고    scopus 로고
    • Neural virtual sensor for the inferential prediction of product quality from process variables
    • R. Rallo, J. Ferre-Gine, A. Arena, F. Giralt, Neural virtual sensor for the inferential prediction of product quality from process variables, Computers and Chemical Engineering, Vol. 26, pp.1735-1754.
    • Computers and Chemical Engineering , vol.26 , pp. 1735-1754
    • Rallo, R.1    Ferre-Gine, J.2    Arena, A.3    Giralt, F.4
  • 10
    • 0742272554 scopus 로고    scopus 로고
    • An approach to on-line identification of evolving Takagi-Sugeno models
    • P. Angelov, D. Filev, "An approach to on-line identification of evolving Takagi-Sugeno models", IEEE Trans. on Systems, Man and Cybernetics, part B, vol.34, No1, pp. 484-498, 2004.
    • (2004) IEEE Trans. on Systems, Man and Cybernetics, part B , vol.34 , Issue.NO1 , pp. 484-498
    • Angelov, P.1    Filev, D.2
  • 11
    • 34247532567 scopus 로고    scopus 로고
    • Evolving fuzzy systems from data streams in real-time
    • 7-9 September, Ambleside, Lake District, UK, IEEE Press, pp, ISBN 0-7803-9719-3
    • P. Angelov, X. Zhou, Evolving fuzzy systems from data streams in real-time. Proc. 2006 International Symposium on Evolving Fuzzy Systems, 7-9 September, 2006, Ambleside, Lake District, UK, IEEE Press, pp.29-35, ISBN 0-7803-9719-3.
    • (2006) Proc. 2006 International Symposium on Evolving Fuzzy Systems , pp. 29-35
    • Angelov, P.1    Zhou, X.2
  • 12
    • 0003822048 scopus 로고    scopus 로고
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    • (1997) Fuzzy Modeling for Control
    • Babuska, R.1
  • 13
    • 11144352228 scopus 로고    scopus 로고
    • On-line identification of MIMO evolving Takagi-Sugeno fuzzy models. Intern. Joint Conf. on Neural Networks and Intern. Conf. on Fuzzy Systems
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    • P. Angelov, C. Xydeas, D. Filev, On-line identification of MIMO evolving Takagi-Sugeno fuzzy models. Intern. Joint Conf. on Neural Networks and Intern. Conf. on Fuzzy Systems, IJCNN-FUZZ-IEEE, Budapest, Hungary, 25-29 July, 2004, 55-60, ISBN 0-7803-8354-0.
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    • Angelov, P.1    Xydeas, C.2    Filev, D.3
  • 15
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    • A. Kordon, G. Smits, A. Kalos, and E. Jordaan. Robust Soft Sensor Development Using Genetic Programming. In Nature-Inspired Methods in Chemometrics,(R. Leardi-Ed.), pp. 69-108, Elsevier, Amsterdam, Holland, 2003.
    • A. Kordon, G. Smits, A. Kalos, and E. Jordaan. Robust Soft Sensor Development Using Genetic Programming. In Nature-Inspired Methods in Chemometrics,(R. Leardi-Ed.), pp. 69-108, Elsevier, Amsterdam, Holland, 2003.
  • 16
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    • U.M O'Reilly, T. Yu, R. Riolo, B. Worzel Eds, Springer, NY, USA, pp
    • G. Smits, M. Kotanchek, Pareto-Front Exploitation Symbolic Regression, In Genetic Programming Theory and Practice II, U.M O'Reilly, T. Yu, R. Riolo, B. Worzel (Eds), Springer, NY, USA, pp. 283-300, 2004.
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  • 17
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    • G. Smits, A. Kordon, E. Jordaan, C. Vladislavleva, and M. Kotanchek, Variable Selection in Industrial Data Sets Using Pareto Genetic Programming, In: Yu T., Riolo, R. and Worzel, B. (eds): Genetic Programming Theory and Practice III. Springer. NY, pp. 79-92, 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.