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Volumn , Issue , 2006, Pages 49-54

An evolving fuzzy model for embedded applications

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; EMBEDDED SYSTEMS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS;

EID: 34250774489     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISEFS.2006.251132     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 1
    • 1142279663 scopus 로고    scopus 로고
    • An approach for fuzzy rule-base adaptation using online clustering
    • Angelov P.P., An approach for fuzzy rule-base adaptation using online clustering, Int. J. of Approximate Reasoning, Vol. 35, Issue 3, (2004) 275-289.
    • (2004) Int. J. of Approximate Reasoning , vol.35 , Issue.3 , pp. 275-289
    • Angelov, P.P.1
  • 2
    • 0036802284 scopus 로고    scopus 로고
    • Identification of evolving fuzzy rule-based models
    • Angelov P.P. and Buswell R., Identification of evolving fuzzy rule-based models, IEEE Trans. on Fuzzy Systems, 10(5),(2002) 1-11.
    • (2002) IEEE Trans. on Fuzzy Systems , vol.10 , Issue.5 , pp. 1-11
    • Angelov, P.P.1    Buswell, R.2
  • 3
    • 0742272554 scopus 로고    scopus 로고
    • An approach to online identification of Takagi-Sugeno fuzzy models
    • Part B
    • Angelov P.P. and Filev D.P., An approach to online identification of Takagi-Sugeno fuzzy models, IEEE Trans. on Systems, Man and Cybernetics, Part B, Vol. 34, Issue 1, (2002) 484-498.
    • (2002) IEEE Trans. on Systems, Man and Cybernetics , vol.34 , Issue.1 , pp. 484-498
    • Angelov, P.P.1    Filev, D.P.2
  • 4
    • 0742320762 scopus 로고    scopus 로고
    • Rule-base self-generation and simplification for data-driven fuzzy models
    • Chen M.-Y. and Linkens D.A., Rule-base self-generation and simplification for data-driven fuzzy models, Fuzzy Sets and Systems, Vol.142, Issue 2, (2003) 243-265.
    • (2003) Fuzzy Sets and Systems , vol.142 , Issue.2 , pp. 243-265
    • Chen, M.-Y.1    Linkens, D.A.2
  • 6
    • 0024280745 scopus 로고
    • Probabilistic fuzzy model for dynamic systems
    • Ridley J.N., Shaw I.S. and Kruger J.J., Probabilistic fuzzy model for dynamic systems, Electronic Letters, 24(14), (1988) 890-892.
    • (1988) Electronic Letters , vol.24 , Issue.14 , pp. 890-892
    • Ridley, J.N.1    Shaw, I.S.2    Kruger, J.J.3
  • 7
    • 34250750680 scopus 로고    scopus 로고
    • De Barros J.-C. and Dexter A.L, Online identification of computationally undemanding evolving fuzzy models, Fuzzy Sets & Systems under review
    • De Barros J.-C. and Dexter A.L., Online identification of computationally undemanding evolving fuzzy models, Fuzzy Sets & Systems (under review).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.