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Volumn , Issue , 2008, Pages 1496-1502

A recurrent interval type-2 fuzzy neural network with asymmetric membership functions for nonlinear system identification

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; FUNCTIONS; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SETS; FUZZY SYSTEMS; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; NONLINEAR SYSTEMS; PROBABILITY DENSITY FUNCTION; SCHRODINGER EQUATION;

EID: 55249122108     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2008.4630570     Document Type: Conference Paper
Times cited : (29)

References (25)
  • 1
    • 8344280809 scopus 로고    scopus 로고
    • Asymmetric Triangular Fuzzy Sets for Classification Models
    • J. F. Baldwin and S. B. Karake, "Asymmetric Triangular Fuzzy Sets for Classification Models," Lecture Notes in Artificial Intelligenice, Vol. 2773, pp. 364-370, 2003
    • (2003) Lecture Notes in Artificial Intelligenice , vol.2773 , pp. 364-370
    • Baldwin, J.F.1    Karake, S.B.2
  • 2
    • 11144267886 scopus 로고    scopus 로고
    • Adaptive Noise Cancellation Using Type-2 Fuzzy Logic and Neural Networks
    • O. Castillo and P. Melin, "Adaptive Noise Cancellation Using Type-2 Fuzzy Logic and Neural Networks," IEEE International Conf. on Fuzzy Systems, Vol. 2, pp. 1093-1098, 2004
    • (2004) IEEE International Conf. on Fuzzy Systems , vol.2 , pp. 1093-1098
    • Castillo, O.1    Melin, P.2
  • 3
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-Network-Based Fuzzy Inference System
    • J. S. Jang, "ANFIS: Adaptive-Network-Based Fuzzy Inference System," IEEE Trans. on Systems, Man, and Cybernetics, Vol. 23, No. 3, pp. 665-685, 1993.
    • (1993) IEEE Trans. on Systems, Man, and Cybernetics , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.S.1
  • 6
    • 7044260330 scopus 로고    scopus 로고
    • Evolutionary Optimization of Fuzzy Models with Asymmetric RBF Membership Functions Using Simplified Fitness Sharing
    • M. S. Kim, C. H. Kim, and J. J. Lee, "Evolutionary Optimization of Fuzzy Models with Asymmetric RBF Membership Functions Using Simplified Fitness Sharing," Lecture Notes in Artificial Intelligentce, Vol. 2715, pp. 628-635, 2003
    • (2003) Lecture Notes in Artificial Intelligentce , vol.2715 , pp. 628-635
    • Kim, M.S.1    Kim, C.H.2    Lee, J.J.3
  • 7
    • 34250767983 scopus 로고    scopus 로고
    • An Adaptive Type-2 Fuzzy Neural Controller for Nonlinear Uncertain Systems
    • C. H. Lee, Y. C. Lin, "An Adaptive Type-2 Fuzzy Neural Controller for Nonlinear Uncertain Systems," International Journal of Control and Intelligent, Vol. 12, No. 1, pp. 41-50, 2005
    • (2005) International Journal of Control and Intelligent , vol.12 , Issue.1 , pp. 41-50
    • Lee, C.H.1    Lin, Y.C.2
  • 8
    • 0034244894 scopus 로고    scopus 로고
    • Identification and Control of Dynamic Systems Using Recurrent Fuzzy Neural Networks
    • C. H. Lee and C. C. Teng, "Identification and Control of Dynamic Systems Using Recurrent Fuzzy Neural Networks," IEEE Trans. on Fuzzy Systems, Vol. 8, No. 4, pp. 349-366, 2000
    • (2000) IEEE Trans. on Fuzzy Systems , vol.8 , Issue.4 , pp. 349-366
    • Lee, C.H.1    Teng, C.C.2
  • 9
    • 0035453659 scopus 로고    scopus 로고
    • Fine Tuning of Membership Functions for Fuzzy Neural Systems
    • C. H. Lee and C. C. Teng, "Fine Tuning of Membership Functions for Fuzzy Neural Systems," Asian Journal of Control, Vol. 3, No. 3, pp. 216-225, 2001.
    • (2001) Asian Journal of Control , vol.3 , Issue.3 , pp. 216-225
    • Lee, C.H.1    Teng, C.C.2
  • 11
    • 55249112108 scopus 로고    scopus 로고
    • Enhancing the Performance of Neural Fuzzy Systems Using Asymmetric Membership Functions
    • C. H. Lee and H. Y. Pan, "Enhancing the Performance of Neural Fuzzy Systems Using Asymmetric Membership Functions," Revised in Fuzzy Sets and Systems, 2007.
    • (2007) Revised in Fuzzy Sets and Systems
    • Lee, C.H.1    Pan, H.Y.2
  • 13
    • 0037332304 scopus 로고    scopus 로고
    • Self-organizing Neuro-fuzzy System for Control of Unknown Plants
    • C. Li and C. Y. Lee, "Self-organizing Neuro-fuzzy System for Control of Unknown Plants," IEEE Trans. on Fuzzy Systems, Vol. 11, No. 1, pp. 135-150, 2003.
    • (2003) IEEE Trans. on Fuzzy Systems , vol.11 , Issue.1 , pp. 135-150
    • Li, C.1    Lee, C.Y.2
  • 14
    • 0034295771 scopus 로고    scopus 로고
    • Interval Type-2 Fuzzy Logic Systems: Theory and Design
    • A. Q. Liang and J. M. Mendel, "Interval Type-2 Fuzzy Logic Systems: Theory and Design," IEEE Trans. on Fuzzy Systems, Vol. 8, No. 5, pp. 535-550, 2000.
    • (2000) IEEE Trans. on Fuzzy Systems , vol.8 , Issue.5 , pp. 535-550
    • Liang, A.Q.1    Mendel, J.M.2
  • 16
    • 17644415734 scopus 로고    scopus 로고
    • An Asymmetric-similarity-measure-based Neural Fuzzy Inference System
    • C. J. Lin and W. H. Ho, "An Asymmetric-similarity-measure-based Neural Fuzzy Inference System," Fuzzy Sets and Systems, Vol. 152, pp. 535-551, 2005.
    • (2005) Fuzzy Sets and Systems , vol.152 , pp. 535-551
    • Lin, C.J.1    Ho, W.H.2
  • 17
    • 0030126380 scopus 로고    scopus 로고
    • Learning Fuzzy Inference Systems Using An Adaptive Membership Function Scheme
    • A. Lotfi and A. C. Tsoi, "Learning Fuzzy Inference Systems Using An Adaptive Membership Function Scheme," IEEE Trans. on Systems, Man, and Cybernetics, Part-B, Vol. 26, No. 2, pp. 326-331, 1996.
    • (1996) IEEE Trans. on Systems, Man, and Cybernetics, Part-B , vol.26 , Issue.2 , pp. 326-331
    • Lotfi, A.1    Tsoi, A.C.2
  • 19
    • 34248145512 scopus 로고    scopus 로고
    • Type-2 FLCs: A New Generation of Fuzzy Controllers
    • H. Hagras, "Type-2 FLCs: A New Generation of Fuzzy Controllers," IEEE Computational Intelligence Magazine, Vol. 2, No. 1, pp. 30-43, 2007.
    • (2007) IEEE Computational Intelligence Magazine , vol.2 , Issue.1 , pp. 30-43
    • Hagras, H.1
  • 20
    • 0025399567 scopus 로고
    • Identification and Control of Dynamical Systems Using Neural Networks
    • K. S. Narendra and K. Parthasarathy, "Identification and Control of Dynamical Systems Using Neural Networks," Trans. on Neural Networks, Vol. 1, No. 1, pp. 4-27, 1990.
    • (1990) Trans. on Neural Networks , vol.1 , Issue.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 21
    • 4544359866 scopus 로고    scopus 로고
    • Effect of Type-2 Fuzzy Membership Function Shape on Modeling Variation in Human Decision Making
    • T. Ozen and J. M. Garibaldi, "Effect of Type-2 Fuzzy Membership Function Shape on Modeling Variation in Human Decision Making," International Conf. on Fuzzy Systems, Vol.2, pp. 971 -976, 2004.
    • (2004) International Conf. on Fuzzy Systems , vol.2 , pp. 971-976
    • Ozen, T.1    Garibaldi, J.M.2
  • 22
    • 38049053614 scopus 로고    scopus 로고
    • Construction of Asymmetric Type-2 Fuzzy Membership Functions and Application in Time Series Prediction
    • H. Y. Pan and C. H. Lee, "Construction of Asymmetric Type-2 Fuzzy Membership Functions and Application in Time Series Prediction," International Conf. on Machine Learning and Cybernetics, Vol. 4, pp. 2024-2030, 2007.
    • (2007) International Conf. on Machine Learning and Cybernetics , vol.4 , pp. 2024-2030
    • Pan, H.Y.1    Lee, C.H.2
  • 23
    • 2942547512 scopus 로고    scopus 로고
    • Dynamical Optimal Training for Interval Type-2 Fuzzy Neural Network (T2FNN)
    • C. H. Wang, C. S. Cheng, and T. T. Lee, "Dynamical Optimal Training for Interval Type-2 Fuzzy Neural Network (T2FNN)," IEEE Trans. on Systems, Man, Cybernetics Part-B, Vol. 34, No. 3, pp. 1462-1477, 2004.
    • (2004) IEEE Trans. on Systems, Man, Cybernetics Part-B , vol.34 , Issue.3 , pp. 1462-1477
    • Wang, C.H.1    Cheng, C.S.2    Lee, T.T.3
  • 25
    • 0016458950 scopus 로고
    • The Concept of A Linguistic Variable and Its Application to Approximate Reasoning
    • L. A. Zadeh, "The Concept of A Linguistic Variable and Its Application to Approximate Reasoning," Information Sciences, Vol. 8, No.3, pp. 199-249, 1975
    • (1975) Information Sciences , vol.8 , Issue.3 , pp. 199-249
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.