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Volumn 179, Issue 1, 2011, Pages 83-99

Dynamic system modeling using a recurrent interval-valued fuzzy neural network and its hardware implementation

Author keywords

Fuzzy hardware; Interval valued fuzzy sets; Neuro fuzzy systems; Recurrent fuzzy neural networks; Recurrent fuzzy systems

Indexed keywords

FUZZY HARDWARE; INTERVAL-VALUED FUZZY SETS; NEUROFUZZY SYSTEM; RECURRENT FUZZY NEURAL NETWORKS; RECURRENT FUZZY SYSTEMS;

EID: 79959954341     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2011.05.015     Document Type: Article
Times cited : (34)

References (35)
  • 1
    • 0032681147 scopus 로고    scopus 로고
    • A recurrent self-organizing neural fuzzy inference network
    • C.F. Juang, and C.T. Lin A recurrent self-organizing neural fuzzy inference network IEEE Trans. Neural Networks 10 4 1999 828 845
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.4 , pp. 828-845
    • Juang, C.F.1    Lin, C.T.2
  • 2
    • 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. Fuzzy Syst. 8 4 2000 349 366
    • (2000) IEEE Trans. Fuzzy Syst. , vol.8 , Issue.4 , pp. 349-366
    • Lee, C.H.1    Teng, C.C.2
  • 4
    • 0036531230 scopus 로고    scopus 로고
    • A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithm
    • C.F. Juang A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithm IEEE Trans. Fuzzy Syst. 10 2 2002 155 170
    • (2002) IEEE Trans. Fuzzy Syst. , vol.10 , Issue.2 , pp. 155-170
    • Juang, C.F.1
  • 5
    • 4844222566 scopus 로고    scopus 로고
    • Prediction and identification using wavelet-based recurrent fuzzy neural networks
    • C.J. Lin, and C.C. Chin Prediction and identification using wavelet-based recurrent fuzzy neural networks IEEE Trans. Syst. Man Cybern. Part B Cybern. 34 5 2004 2144 2154
    • (2004) IEEE Trans. Syst. Man Cybern. Part B Cybern. , vol.34 , Issue.5 , pp. 2144-2154
    • Lin, C.J.1    Chin, C.C.2
  • 6
    • 11244305511 scopus 로고    scopus 로고
    • NARMAX time series model prediction: Feedforward and recurrent fuzzy neural network approaches
    • DOI 10.1016/j.fss.2004.09.015, PII S0165011404004099
    • Y. Gao, and M.J. Er NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches Fuzzy Sets Syst. 150 2005 331 350 (Pubitemid 40056024)
    • (2005) Fuzzy Sets and Systems , vol.150 , Issue.2 , pp. 331-350
    • Gao, Y.1    Er, M.J.2
  • 7
    • 33744792340 scopus 로고    scopus 로고
    • Water bath temperature control by a recurrent fuzzy controller and its FPGA implementation
    • C.F. Juang, and J.S. Chen Water bath temperature control by a recurrent fuzzy controller and its FPGA implementation IEEE Trans. Ind. Electron. 53 3 2006 941 949
    • (2006) IEEE Trans. Ind. Electron. , vol.53 , Issue.3 , pp. 941-949
    • Juang, C.F.1    Chen, J.S.2
  • 8
    • 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 Inf. Sci. Part 1 8 1975 199 249
    • (1975) Inf. Sci. Part 1 , vol.8 , pp. 199-249
    • Zadeh, L.A.1
  • 9
    • 0016459349 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 Inf. Sci. Part 2 8 1975 301 357
    • (1975) Inf. Sci. Part 2 , vol.8 , pp. 301-357
    • Zadeh, L.A.1
  • 10
    • 0016631726 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 Inf. Sci. Part 3 9 1975 43 80
    • (1975) Inf. Sci. Part 3 , vol.9 , pp. 43-80
    • Zadeh, L.A.1
  • 12
    • 28044436934 scopus 로고    scopus 로고
    • A recurrent fuzzy filter for the analysis of lung sounds
    • DOI 10.1016/j.fss.2005.06.020, PII S0165011405003490
    • P.A. Mastorocostas A recurrent fuzzy filter for the analysis of lung sounds Fuzzy Sets Syst. 157 4 2006 578 594 (Pubitemid 41690776)
    • (2006) Fuzzy Sets and Systems , vol.157 , Issue.4 , pp. 578-594
    • Mastorocostas, P.A.1
  • 13
    • 35348824955 scopus 로고    scopus 로고
    • A self-organizing TS-type fuzzy network with support vector learning and its application to classification problems
    • C.F. Juang, S.H. Chiu, and S.W. Chang A self-organizing TS-type fuzzy network with support vector learning and its application to classification problems IEEE Trans. Fuzzy Syst. 15 5 2007 998 1008
    • (2007) IEEE Trans. Fuzzy Syst. , vol.15 , Issue.5 , pp. 998-1008
    • Juang, C.F.1    Chiu, S.H.2    Chang, S.W.3
  • 14
    • 67349101599 scopus 로고    scopus 로고
    • Development of a new minimum avoidance system for a behavior-based mobile robot
    • O.R.E. Motlagh, T.S. Hong, and N. Ismail Development of a new minimum avoidance system for a behavior-based mobile robot Fuzzy Sets Syst. 160 12 2009 1929 1946
    • (2009) Fuzzy Sets Syst. , vol.160 , Issue.12 , pp. 1929-1946
    • Motlagh, O.R.E.1    Hong, T.S.2    Ismail, N.3
  • 15
    • 4344620181 scopus 로고    scopus 로고
    • A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots
    • H. Hagras A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots IEEE Trans. Fuzzy Syst. 12 2004 524 539
    • (2004) IEEE Trans. Fuzzy Syst. , vol.12 , pp. 524-539
    • Hagras, H.1
  • 16
    • 42549120239 scopus 로고    scopus 로고
    • Wireless sensor network lifetime analysis using interval type-2 fuzzy logic systems
    • DOI 10.1109/TFUZZ.2006.890668
    • H. Shu, Q. Liang, and J. Gao Wireless sensor network lifetime analysis using interval type-2 fuzzy logic systems IEEE Trans. Fuzzy Syst. 16 2 2008 416 427 (Pubitemid 351586041)
    • (2008) IEEE Transactions on Fuzzy Systems , vol.16 , Issue.2 , pp. 416-427
    • Shu, H.1    Liang, Q.2    Gao, J.3
  • 17
    • 67349130884 scopus 로고    scopus 로고
    • Interval-valued fuzzy sets constructed from matrices: Application to edge detection
    • H. Bustince, E. Barrenechea, M. Pagola, and J. Fernandez Interval-valued fuzzy sets constructed from matrices: application to edge detection Fuzzy Sets Syst. 160 12 2009 1819 1840
    • (2009) Fuzzy Sets Syst. , vol.160 , Issue.12 , pp. 1819-1840
    • Bustince, H.1    Barrenechea, E.2    Pagola, M.3    Fernandez, J.4
  • 19
    • 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. Syst. Man Cybern. Part B Cybern. 34 3 2004 1462 1477
    • (2004) IEEE Trans. Syst. Man Cybern. Part B Cybern. , vol.34 , Issue.3 , pp. 1462-1477
    • Wang, C.H.1    Cheng, C.S.2    Lee, T.T.3
  • 20
    • 1542273540 scopus 로고    scopus 로고
    • Computing derivatives in interval type-2 fuzzy logic system
    • J.M. Mendel Computing derivatives in interval type-2 fuzzy logic system IEEE Trans. Fuzzy Syst. 12 1 2004 84 98
    • (2004) IEEE Trans. Fuzzy Syst. , vol.12 , Issue.1 , pp. 84-98
    • Mendel, J.M.1
  • 21
    • 33749379258 scopus 로고    scopus 로고
    • Comments on "Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN)"
    • DOI 10.1109/TCSI.2006.873184
    • H. Hagras Comments on dynamical optimal training for interval type-2 fuzzy neural network T2FNN IEEE Trans. Syst. Man Cybern. Part B Cybern. 36 5 2006 1206 1209 (Pubitemid 44500790)
    • (2006) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , vol.36 , Issue.5 , pp. 1206-1209
    • Hagras, H.1
  • 22
    • 57049085724 scopus 로고    scopus 로고
    • A type-2 self-organizing neural fuzzy system and its FPGA implementation
    • C.F. Juang, and Y.W. Tsao A type-2 self-organizing neural fuzzy system and its FPGA implementation IEEE Trans. Syst. Man Cybern. Part B Cybern. 38 6 2008 1537 1548
    • (2008) IEEE Trans. Syst. Man Cybern. Part B Cybern. , vol.38 , Issue.6 , pp. 1537-1548
    • Juang, C.F.1    Tsao, Y.W.2
  • 23
    • 70350066635 scopus 로고    scopus 로고
    • A recurrent self-evolving interval type-2 fuzzy neural network for dynamic system processing
    • C.F. Juang, R.B. Huang, and Y.Y. Lin A recurrent self-evolving interval type-2 fuzzy neural network for dynamic system processing IEEE Trans. Fuzzy Syst. 17 5 2009 1092 1105
    • (2009) IEEE Trans. Fuzzy Syst. , vol.17 , Issue.5 , pp. 1092-1105
    • Juang, C.F.1    Huang, R.B.2    Lin, Y.Y.3
  • 24
    • 23844433374 scopus 로고    scopus 로고
    • Issues concerning the analysis and implementation of a class of fuzzy controllers
    • DOI 10.1016/j.fss.2005.04.015, PII S0165011405001612
    • J. Echanobe, I. del Campo, and J.M. Tarela Issues concerning the analysis and implementation of a class of fuzzy controllers Fuzzy Sets Syst. 155 2 2005 252 271 (Pubitemid 41164255)
    • (2005) Fuzzy Sets and Systems , vol.155 , Issue.2 , pp. 252-271
    • Echanobe, J.1    Del Campo, I.2    Tarela, J.M.3
  • 29
    • 0036802260 scopus 로고    scopus 로고
    • Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems
    • DOI 10.1109/TFUZZ.2002.803496, PII 1011092002203496
    • H. Wu, and J.M. Mendel Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems IEEE Trans. Fuzzy Syst. 10 5 2002 622 639 (Pubitemid 35274824)
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.5 , pp. 622-639
    • Wu, H.1    Mendel, J.M.2
  • 30
    • 0024700020 scopus 로고
    • Applications of distributed arithmetic to digital signal processing: A tutorial review
    • S.A. White Applications of distributed arithmetic to digital signal processing: a tutorial review IEEE ASSP Mag. 6 3 1989 4 19
    • (1989) IEEE ASSP Mag. , vol.6 , Issue.3 , pp. 4-19
    • White, S.A.1
  • 31
    • 52949088628 scopus 로고    scopus 로고
    • Low-level interpretability and high-level interpretability: A unified view of data-driven interpretable fuzzy system modelling
    • S.M. Zhou, and J.Q. Gan Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling Fuzzy Sets Syst. 159 22 2008 3091 3131
    • (2008) Fuzzy Sets Syst. , vol.159 , Issue.22 , pp. 3091-3131
    • Zhou, S.M.1    Gan, J.Q.2
  • 33
    • 26444565569 scopus 로고
    • Finding structure in time
    • J.L. Elman Finding structure in time Cognit. Sci. 14 1990 179 211
    • (1990) Cognit. Sci. , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 34
    • 34248650996 scopus 로고    scopus 로고
    • Hierarchical singleton-type recurrent neural fuzzy networks for noisy speech recognition
    • C.F. Juang, C.T. Chiou, and C.L. Lai Hierarchical singleton-type recurrent neural fuzzy networks for noisy speech recognition IEEE Trans. Neural Networks 18 3 2007 833 843
    • (2007) IEEE Trans. Neural Networks , vol.18 , Issue.3 , pp. 833-843
    • Juang, C.F.1    Chiou, C.T.2    Lai, C.L.3
  • 35
    • 0031251688 scopus 로고    scopus 로고
    • Identifying chaotic systems via a Wiener-type cascade model
    • G. Chen, Y. Chen, and H. Ogmen Identifying chaotic system via a Wiener-type cascade model IEEE Trans. Contr. Syst. 17 5 1997 29 36 (Pubitemid 127595774)
    • (1997) IEEE Control Systems Magazine , vol.17 , Issue.5 , pp. 29-36
    • Chen, G.1    Chen, Y.2    Ogmen, H.3


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