메뉴 건너뛰기




Volumn , Issue , 2005, Pages 678-683

On-line clustering for nonlinear system identification using fuzzy neural networks

Author keywords

Fuzzy neural networks; On line clustering; Structure and parameters updating

Indexed keywords

ALGORITHMS; BACKPROPAGATION; FUZZY CONTROL; FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; NEURAL NETWORKS;

EID: 23944453673     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (21)
  • 1
    • 0142196084 scopus 로고    scopus 로고
    • Structure identification of generalized adaptive neuro-fuzzy inference systems
    • M.F.Azeem, M.Hanmandlu, and N.Ahmad, Structure identification of generalized adaptive neuro-fuzzy inference systems, IEEE Trans. Fuzzy Syst., Vol.11, No.6, 666-681, 2003.
    • (2003) IEEE Trans. Fuzzy Syst. , vol.11 , Issue.6 , pp. 666-681
    • Azeem, M.F.1    Hanmandlu, M.2    Ahmad, N.3
  • 3
    • 84974743850 scopus 로고
    • Fuzzy Model Identification based on cluster estimation
    • S.L. Chiu, Fuzzy Model Identification based on cluster estimation, Journal of Intelligent and Fuzzy Systems, Vol.2, No.3, 1994.
    • (1994) Journal of Intelligent and Fuzzy Systems , vol.2 , Issue.3
    • Chiu, S.L.1
  • 5
    • 0029359001 scopus 로고
    • Selecting fuzzy if-then rules for classification problems using genetic algorithms
    • H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka, Selecting fuzzy if-then rules for classification problems using genetic algorithms, EEE Trans. Fuzzy Syst., vol. 3, pp. 260-270, 1995.
    • (1995) EEE Trans. Fuzzy Syst. , vol.3 , pp. 260-270
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 6
    • 0031999146 scopus 로고    scopus 로고
    • An on-Line self-constructing neural fuzzy inference network and its applications
    • 19983
    • C.F.Jang and C.Teng Lin, An on-Line self-constructing neural fuzzy inference network and its applications, IEEE Trans. Fuzzy Syst., Vol.6, No.1, 12-32, 19983.
    • IEEE Trans. Fuzzy Syst. , vol.6 , Issue.1 , pp. 12-32
    • Jang, C.F.1    Lin, C.T.2
  • 7
    • 0030410676 scopus 로고    scopus 로고
    • Identification of nonlinear dynamical systems using multilayered neural networks
    • S. Jagannathan and F.L.Lewis, Identification of Nonlinear Dynamical Systems Using Multilayered Neural Networks, Automatica, Vol.32, No.12, 1707-1712, 1996.
    • (1996) Automatica , vol.32 , Issue.12 , pp. 1707-1712
    • Jagannathan, S.1    Lewis, F.L.2
  • 9
    • 0036530967 scopus 로고    scopus 로고
    • DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction
    • N. Kasabov and Q.Song, DENFIS: Dynamic Evolving Neural-Fuzzy Inference System and Its Application for Time-Series Prediction, IEEE Trans. Fuzzy Syst., Vol.10, No.2, 144-155, 2002.
    • (2002) IEEE Trans. Fuzzy Syst. , vol.10 , Issue.2 , pp. 144-155
    • Kasabov, N.1    Song, Q.2
  • 12
    • 0016368711 scopus 로고
    • Application of fuzzy algorithms for control of simple dynamic plant
    • E.H.Mamdani, Application of fuzzy algorithms for control of simple dynamic plant, IEE Proceedings - Control Theory and Applications, Vol.121, No.12, 1585-1588, 1976.
    • (1976) IEE Proceedings - Control Theory and Applications , vol.121 , Issue.12 , pp. 1585-1588
    • Mamdani, E.H.1
  • 13
    • 0034187785 scopus 로고    scopus 로고
    • Neuro-fuzzy rule generation: Survey in soft computing framework
    • S.Mitra, Y.Hayashi, Neuro-Fuzzy Rule Generation: Survey in Soft Computing Framework, IEEE Transactions on Neural Networks, Vol.11, No.3, 748-769, 2000
    • (2000) IEEE Transactions on Neural Networks , vol.11 , Issue.3 , pp. 748-769
    • Mitra, S.1    Hayashi, Y.2
  • 14
    • 0031140389 scopus 로고    scopus 로고
    • Adaptive control using neural networks and approximate models
    • K.S.Narendra and S.Mukhopadhyay, Adaptive Control Using Neural Networks and Approximate Models, IEEE Trans. Neural Networks, Vol.8, No.3, 475-485, 1997.
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.3 , pp. 475-485
    • Narendra, K.S.1    Mukhopadhyay, S.2
  • 15
    • 0042525842 scopus 로고    scopus 로고
    • Neural-network construction and selection in nonlinear modeling
    • I.Rivals and L.Personnaz, Neural-Network Construction and Selection in Nonlinear Modeling, IEEE Transactions on Neural Networks, Vol.14, No.4, 804-820, 2003
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.4 , pp. 804-820
    • Rivals, I.1    Personnaz, L.2
  • 16
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • T.Takagi and M.Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Syst., Man, Cybern., Vol.15, 116-132, 1985.
    • (1985) IEEE Trans. Syst., Man, Cybern. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 20
    • 3042549361 scopus 로고    scopus 로고
    • Fuzzy identification using fuzzy neural networks with stable learning algorithms
    • W.Yu and X.Li, Fuzzy identification using fuzzy neural networks with stable learning algorithms, IEEE Transactions on Fuzzy Systems, Vol.12, No.3, 411-420, 2004.
    • (2004) IEEE Transactions on Fuzzy Systems , vol.12 , Issue.3 , pp. 411-420
    • Yu, W.1    Li, X.2
  • 21
    • 0035895112 scopus 로고    scopus 로고
    • Multilayer dynamic neural networks for nonlinear system on-line identification
    • W.Yu, A.S. Poznyak and X.Li, Multilayer Dynamic Neural Networks for Nonlinear System On-line Identification, International Journal of Control, Vol.74, No.18, 1858-1864, 2001.
    • (2001) International Journal of Control , vol.74 , Issue.18 , pp. 1858-1864
    • Yu, W.1    Poznyak, A.S.2    Li, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.