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Volumn 9, Issue 2, 2010, Pages 137-152

Design of experiments in neuro-fuzzy systems

Author keywords

Adaptive neuro fuzzy inference system; Design of experiments; Evolving fuzzy neural networks; Neuro fuzzy systems

Indexed keywords

DESIGN OF EXPERIMENTS; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; STATISTICAL MECHANICS;

EID: 77953524841     PISSN: 14690268     EISSN: None     Source Type: Journal    
DOI: 10.1142/S1469026810002823     Document Type: Article
Times cited : (11)

References (14)
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  • 2
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    • Evolutionary computation for dynamic parameter optimisation of evolving connectionist systems for on-line prediction of time series with changing dynamics
    • N. Kasabov, Q. Song and I. Nishikawa, Evolutionary computation for dynamic parameter optimisation of evolving connectionist systems for on-line prediction of time series with changing dynamics, Proc. Int. Conf. on Neural Information Processing, Vol.1 (2003), pp. 438-443.
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    • Kasabov, N.1    Song, Q.2    Nishikawa, I.3
  • 4
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • J. S. Jang, ANFIS: Adaptive-network-based fuzzy inference system, IEEE Trans. Syst. Man Cybernet. 23(3) (1993) 665-685.
    • (1993) IEEE Trans. Syst. Man Cybernet. , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.S.1
  • 5
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    • Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning
    • DOI 10.1109/3477.969494, PII S1083441901086411
    • N. Kasabov, Evolving fuzzy neural networks for supervised/unsupervised on-Line, knowledge-based learning, IEEE Trans. Syst. Man Cybernet. 31(6) (2001) 902-918. (Pubitemid 34035554)
    • (2001) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , vol.31 , Issue.6 , pp. 902-918
    • Kasabov, N.1
  • 8
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    • The irises of the Gasp Peninsula
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  • 11
    • 52149085229 scopus 로고    scopus 로고
    • Model-based design of experiments for parameter precision: State of the art
    • G. Franceschini and S. Macchietto, Model-based design of experiments for parameter precision: State of the art, Chem. Eng. Sci. 63(19) (2008) 4846-4872.
    • (2008) Chem. Eng. Sci. , vol.63 , Issue.19 , pp. 4846-4872
    • Franceschini, G.1    MacChietto, S.2
  • 13
    • 68849093646 scopus 로고    scopus 로고
    • A novel data reduction method for Takagi-Sugeno fuzzy system design based on statistical design of experiment
    • Y. Farzaneh and A. A. Tootoonchi, A novel data reduction method for Takagi-Sugeno fuzzy system design based on statistical design of experiment, Appl. Soft Comput. 9(4) (2009) 1367-1376.
    • (2009) Appl. Soft Comput. , vol.9 , Issue.4 , pp. 1367-1376
    • Farzaneh, Y.1    Tootoonchi, A.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.