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Volumn , Issue , 2003, Pages 194-199

Fuzzy-Neuro Predictive Control, Tuned by Genetic Algorithms, Applied to a Fermentation Process

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FERMENTATION; FUZZY CONTROL; GENETIC ALGORITHMS; LEAST SQUARES APPROXIMATIONS; RECURRENT NEURAL NETWORKS;

EID: 0344235182     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/isic.2003.1253937     Document Type: Conference Paper
Times cited : (7)

References (19)
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    • Karr, C.L.1
  • 13
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    • Evolutionary Learning of Fuzzy rules: Competition and cooperation
    • W. Pedrycz, Ed. Norwell, MA: Kluwer Academic Press
    • A. Bonarini, "Evolutionary Learning of Fuzzy rules: competition and cooperation," in Fuzzy Modelling: Paradigms and Practice, W. Pedrycz, Ed. Norwell, MA: Kluwer Academic Press, 1996, pp. 265-284.
    • (1996) Fuzzy Modelling: Paradigms and Practice , pp. 265-284
    • Bonarini, A.1
  • 15
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    • Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms
    • A. Homaifar and V. E. McCormick, "Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms," IEEE Trans. on Fuzzy Systems, vol. 3, no. 2, pp. 129-139, 1995.
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    • Homaifar, A.1    McCormick, V.E.2
  • 17
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    • (1988) Tech. Rep. , vol.CMU-CS-88-152
    • Lang, K.1    Hinton, G.2
  • 18
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    • Constructive algorithms for structure learning in feedforward neural networks for regression problems
    • Sept.
    • T. Y. Kwok and D. Y. Yeung, "Constructive algorithms for structure learning in feedforward neural networks for regression problems," IEEE Transactions on Neural Networks, vol. 7, pp. 1168-1183, Sept. 1996.
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  • 19
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    • An empirical study of learning speed in backpropagation networks
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    • Fahlmann, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.