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Volumn 24, Issue 1, 1994, Pages 39-47

Genetic-Based New Fuzzy Reasoning Models with Application to Fuzzy Control

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; MATHEMATICAL MODELS; PROCESS CONTROL;

EID: 0028257032     PISSN: 00189472     EISSN: 21682909     Source Type: Journal    
DOI: 10.1109/21.259684     Document Type: Article
Times cited : (215)

References (16)
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  • 7
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    • “The influence of some fuzzy implication operators on the accuracy of a fuzzy model, Part II,” Fuzzy Sets and Syst., vol. 15, pp. 223–240, 1985.
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  • 9
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    • Mamdani, E.H.1
  • 10
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    • (1991) Proc. WNN-AIND AIND 91 , pp. 695-702
    • Meredith, D.L.1    Kumar, K.K.2    Karr, C.L.3
  • 11
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    • Training feedforward neural networks using genetic algorithms
    • D. J. Montana and L. Davis, “Training feedforward neural networks using genetic algorithms,” in Proc. IJCAI-89, 1989, pp. 762–767.
    • (1989) Proc. IJCAI-89 , pp. 762-767
    • Montana, D.J.1    Davis, L.2
  • 12
    • 0026896953 scopus 로고
    • Investigations on the applicability of fuzzy inference
    • D. Park, Z. Cao, and A. Kandel, “Investigations on the applicability of fuzzy inference,” Fuzzy Sets and Systems, vol. 49, no. 2, pp. 151–170, 170, 1992.
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  • 13
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    • Hybrid Neural-Fuzzy reasoning model with application to fuzzy control
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    • D. Park, A. Kandel, and G. Langholz, “Hybrid Neural-Fuzzy reasoning model with application to fuzzy control,” in Fuzzy Control Systems, A. Kandel and G. Langholz, Editors. Boca Raton, FL.: CRC Press, 1994.
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    • Park, D.1    Kandel, A.2    Langholz, G.3
  • 14
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    • C. Yu, Z. Cao, and A. Kandel, “Application of fuzzy reasoning to the control of an activated sludge plant,” Fuzzy Sets and Syst., vol. 38, pp. 1–14, 1990.
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  • 16
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    • Zedeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.