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Volumn 37, Issue 7, 2006, Pages 707-723

A PSO-based method for extracting fuzzy rules directly from numerical data

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; IDENTIFICATION (CONTROL SYSTEMS); LEAST SQUARES APPROXIMATIONS; NONLINEAR SYSTEMS; OPTIMIZATION;

EID: 37849187654     PISSN: 01969722     EISSN: 10876553     Source Type: Journal    
DOI: 10.1080/01969720600886980     Document Type: Review
Times cited : (28)

References (21)
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  • 3
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference systems
    • Jang, J. S. Roger. 1993. ANFIS: Adaptive-network-based fuzzy inference systems. IEEE Trans. on Systems, Man and Cybernetics, 23(3):665-685.
    • (1993) IEEE Trans. on Systems, Man and Cybernetics , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.S.R.1
  • 5
    • 1842535329 scopus 로고    scopus 로고
    • A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
    • Juang, C. F. 2004. A hybrid of genetic algorithm and particle swarm optimization for recurrent network design. IEEE Trans. on Systems, Man and Cybernetics-Part B: Cybernetics, 34(2):997-1006.
    • (2004) IEEE Trans. on Systems, Man and Cybernetics-part B: Cybernetics , vol.34 , Issue.2 , pp. 997-1006
    • Juang, C.F.1
  • 7
    • 0004262910 scopus 로고    scopus 로고
    • New Jersey: Prentice Hall
    • Kosko, B. 1997. Fuzzy engineer. New Jersey: Prentice Hall.
    • (1997) Fuzzy Engineer
    • Kosko, B.1
  • 8
    • 0037525534 scopus 로고    scopus 로고
    • A neuro-fuzzy system modeling with self-constructing rule generation and hybrid SVD-based learning
    • Lee, S. J. and C. S. Ouyang. 2003. A neuro-fuzzy system modeling with self-constructing rule generation and hybrid SVD-based learning. IEEE Trans. on Fuzzy Systems, 11(3):341-353.
    • (2003) IEEE Trans. on Fuzzy Systems , vol.11 , Issue.3 , pp. 341-353
    • Lee, S.J.1    Ouyang, C.S.2
  • 9
    • 0031268065 scopus 로고    scopus 로고
    • An ART-based fuzzy adaptive learning control network
    • Lin, C. J. and C. T. Lin. 1997. An ART-based fuzzy adaptive learning control network. IEEE Trans. on Fuzzy Systems, 5(4):477-496.
    • (1997) IEEE Trans. on Fuzzy Systems , vol.5 , Issue.4 , pp. 477-496
    • Lin, C.J.1    Lin, C.T.2
  • 10
    • 0026927202 scopus 로고
    • Fuzzy min-max neural networks - Part 1: Classification
    • Simpson, P. K. 1992. Fuzzy min-max neural networks - Part 1: Classification. IEEE Trans. Neural Networks, 3(September):776-786.
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.SEPTEMBER , pp. 776-786
    • Simpson, P.K.1
  • 11
    • 45449126257 scopus 로고
    • Structure identification of fuzzy model
    • Sugeno, M. and G. T. Kang. 1988. Structure identification of fuzzy model. Fuzzy Sets and Systems, 28:15-33.
    • (1988) Fuzzy Sets and Systems , vol.28 , pp. 15-33
    • Sugeno, M.1    Kang, G.T.2
  • 12
    • 0000185305 scopus 로고
    • Successive identification of a fuzzy model and its applications to prediction of a complex system
    • Sugeno, M. and K. Tanaka. 1991. Successive identification of a fuzzy model and its applications to prediction of a complex system. Fuzzy Sets and Systems, 42:315-334.
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    • Sugeno, M.1    Tanaka, K.2
  • 13
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    • A fuzzy-logic-based approach to qualitative modeling
    • Sugeno, M. and T. Yasukawa. 1993. A fuzzy-logic-based approach to qualitative modeling. IEEE Trans. on Fuzzy Systems, 1:7-31.
    • (1993) IEEE Trans. on Fuzzy Systems , vol.1 , pp. 7-31
    • Sugeno, M.1    Yasukawa, T.2
  • 14
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.