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Volumn , Issue , 2010, Pages 201-228

Online identification of self-organizing fuzzy neural networks for modeling time-varying complex systems

Author keywords

Self organizing fuzzy neural network (SOFNN) learning process structure and parameter learning; Self organizing fuzzy neural networks online identification for time varying complex system modeling; SOFNN algorithm performance evaluation and application in dynamic system identification

Indexed keywords


EID: 79951888103     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470569962.ch9     Document Type: Chapter
Times cited : (13)

References (30)
  • 2
    • 0001234705 scopus 로고
    • Second-Order Derivatives for Network Pruning: Optimal Brain Surgeon
    • Morgan Kaufman
    • B. Hassibi, D. G. Stork, (1993). "Second-Order Derivatives for Network Pruning: Optimal Brain Surgeon," Advances in Neural Information Processing, 4, pp. 164-171. Morgan Kaufman.
    • (1993) Advances in Neural Information Processing , vol.4 , pp. 164-171
    • Hassibi, B.1    Stork, D.G.2
  • 3
    • 0024880831 scopus 로고
    • Multilayer Feedforward Networks Are Universal Approximators
    • K. Hornik, M. Stinchcombe, H. White, (1989). "Multilayer Feedforward Networks Are Universal Approximators," Neural Networks, 2, pp. 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 4
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-Network-Based Fuzzy Inference System
    • J. S. R. Jang,, (1993). "ANFIS: Adaptive-Network-Based Fuzzy Inference System," IEEE Trans. on Systems, Man, and Cybernetics, 23, pp. 665-684.
    • (1993) IEEE Trans. on Systems, Man, and Cybernetics , vol.23 , pp. 665-684
    • Jang, J.S.R.1
  • 5
    • 84895404816 scopus 로고    scopus 로고
    • Evolving Connectionist Systems: The Knowledge Engineering Approach
    • 2nd ed. London: Spinger-Verlag
    • N. Kasabov, (2007). Evolving Connectionist Systems: The Knowledge Engineering Approach, 2nd ed. London: Spinger-Verlag.
    • (2007)
    • Kasabov, N.1
  • 6
    • 0036530967 scopus 로고    scopus 로고
    • DENFIS: Dynamic Evolving Neural-Fuzzy Inference System and Its Applications to Time-Series Predictions
    • N. Kasabov, Q. Song, (2002). "DENFIS: Dynamic Evolving Neural-Fuzzy Inference System and Its Applications to Time-Series Predictions," Transactions on Fuzzy Systems, Vol. 10, No. 2, pp. 144-154.
    • (2002) Transactions on Fuzzy Systems , vol.10 , Issue.2 , pp. 144-154
    • Kasabov, N.1    Song, Q.2
  • 8
    • 0025404409 scopus 로고
    • Fuzzy Logic in Control Systems: Fuzzy Logic Controller-Parts I and II
    • C. C. Lee, (1990). "Fuzzy Logic in Control Systems: Fuzzy Logic Controller-Parts I and II," IEEE Trans. on Systems, Man, and Cybernetics, 20, pp. 404-435.
    • (1990) IEEE Trans. on Systems, Man, and Cybernetics , vol.20 , pp. 404-435
    • Lee, C.C.1
  • 9
    • 8444252563 scopus 로고    scopus 로고
    • Algorithmic Developments for Self-Organising Fuzzy Neural Networks
    • PhD thesis, University of Ulster, UK
    • G. Leng, (2004). "Algorithmic Developments for Self-Organising Fuzzy Neural Networks," PhD thesis, University of Ulster, UK.
    • (2004)
    • Leng, G.1
  • 10
    • 8444234276 scopus 로고    scopus 로고
    • An On-line Algorithm for Creating Self-Organising Fuzzy Neural Networks
    • Elsevier
    • G. Leng, G. Prasad, McGinnity T. M. (2004). "An On-line Algorithm for Creating Self-Organising Fuzzy Neural Networks," Neural Networks, Vol. 17, pp. 1477-1493, Elsevier.
    • (2004) Neural Networks , vol.17 , pp. 1477-1493
    • Leng, G.1    Prasad, G.2    McGinnity, T.M.3
  • 11
    • 11244351634 scopus 로고    scopus 로고
    • An Approach for On-Line Extraction of Fuzzy Rules Using a Self-Organising Fuzzy Neural Network
    • Elsevier
    • G. Leng, T. M. McGinnity, Prasad G. (2005). "An Approach for On-Line Extraction of Fuzzy Rules Using a Self-Organising Fuzzy Neural Network," Fuzzy Sets & Systems,Vol. 150, pp. 211-243, Elsevier.
    • (2005) Fuzzy Sets & Systems , vol.150 , pp. 211-243
    • Leng, G.1    McGinnity, T.M.2    Prasad, G.3
  • 12
    • 0035131889 scopus 로고    scopus 로고
    • APruning Method for the Recursive Least Squared Algorithm
    • C. S. Leung, K.W.Wong, P. F. Sum, L.W. Chan, (2001).APruning Method for the Recursive Least Squared Algorithm," Neural Networks, 14, pp. 147-174.
    • (2001) Neural Networks , vol.14 , pp. 147-174
    • Leung, C.S.1    Wong, K.W.2    Sum, P.F.3    Chan, L.W.4
  • 13
    • 0029275364 scopus 로고
    • A Neural Fuzzy Control System with Structure and Parameter Learning
    • C. T. Lin, (1995). "A Neural Fuzzy Control System with Structure and Parameter Learning," Fuzzy Sets & Systems, 70, pp. 183-212.
    • (1995) Fuzzy Sets & Systems , vol.70 , pp. 183-212
    • Lin, C.T.1
  • 14
    • 0032000840 scopus 로고    scopus 로고
    • A Constructive Approach to Neuro-Fuzzy Networks
    • Mascioli, F.M.F., G. Martinelli, (1998). "A Constructive Approach to Neuro-Fuzzy Networks," Signal Processing, 64, pp. 347-358.
    • (1998) Signal Processing , vol.64 , pp. 347-358
    • Mascioli, F.M.F.1    Martinelli, G.2
  • 16
    • 0034187785 scopus 로고    scopus 로고
    • Neuro-Fuzzy Rule Generation: Survey in Soft Computing Framework
    • S. Mitra, Y. Hayashi, (2000). "Neuro-Fuzzy Rule Generation: Survey in Soft Computing Framework," IEEE Trans. on Neural Networks, 11, pp. 748-768.
    • (2000) IEEE Trans. on Neural Networks , vol.11 , pp. 748-768
    • Mitra, S.1    Hayashi, Y.2
  • 18
    • 0001623515 scopus 로고    scopus 로고
    • Neuro-Fuzzy Systems for Function Approximation
    • D. Nauck, R. Kruse, (1999). "Neuro-Fuzzy Systems for Function Approximation," Fuzzy Sets & Systems, 101, pp. 261-271.
    • (1999) Fuzzy Sets & Systems , vol.101 , pp. 261-271
    • Nauck, D.1    Kruse, R.2
  • 19
    • 0001071040 scopus 로고
    • A Resource Allocating Network for Function Interpolation
    • J. Platt, (1991). "A Resource Allocating Network for Function Interpolation," Neural Comp., Vol. 3, pp. 213-225.
    • (1991) Neural Comp , vol.3 , pp. 213-225
    • Platt, J.1
  • 22
    • 0026927202 scopus 로고
    • Fuzzy Min-Max Neural Networks-Part 1: Classification
    • P. K. Simpson, (1992). "Fuzzy Min-Max Neural Networks-Part 1: Classification," IEEE Trans. on Neural Networks, 3, pp. 776-786.
    • (1992) IEEE Trans. on Neural Networks , vol.3 , pp. 776-786
    • Simpson, P.K.1
  • 23
    • 0027542561 scopus 로고
    • Fuzzy Min-Max Neural Networks-Part 1: Classification
    • P. K. Simpson, (1993). "Fuzzy Min-Max Neural Networks-Part 1: Classification," IEEE Trans. on Fuzzy Systems, 1, pp. 32-45.
    • (1993) IEEE Trans. on Fuzzy Systems , vol.1 , pp. 32-45
    • Simpson, P.K.1
  • 24
    • 0021892282 scopus 로고
    • Fuzzy Identification of Systems and Its Applications to Modeling and Control
    • T. Takagi, M. Sugeno, (1985). "Fuzzy Identification of Systems and Its Applications to Modeling and Control," IEEE Trans. on Systems, Man, and Cybernetics, 15, 116-132.
    • (1985) EEE Trans. on Systems, Man, and Cybernetics , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 25
    • 0026994365 scopus 로고
    • Fuzzy Systems are Universal Approximators
    • 1992
    • L. X.Wang, (1992). "Fuzzy Systems are Universal Approximators." Proc. Int. Conf. Fuzzy Syst., pp. 1163-1170, 1992.
    • (1992) Proc. Int. Conf. Fuzzy Syst. , pp. 1163-1170
    • Wang, L.X.1
  • 26
    • 0001371650 scopus 로고    scopus 로고
    • New Similarity Measures on Fuzzy Sets and on Elements
    • W. J. Wang, (1997). "New Similarity Measures on Fuzzy Sets and on Elements," Fuzzy Sets & Systems, 85, pp. 305-309.
    • (1997) Fuzzy Sets & Systems , vol.85 , pp. 305-309
    • Wang, W.J.1
  • 27
    • 0034868489 scopus 로고    scopus 로고
    • Efficient Neuro-Fuzzy Control Systems for Autonomous Underwater Vehicle Control
    • J. S. Wang, Lee, C.S.G. (2001). "Efficient Neuro-Fuzzy Control Systems for Autonomous Underwater Vehicle Control." Proc. 2001 IEEE Int. Conf. on Robotics and Automation, pp. 2986-2991.
    • (2001) Proc. 2001 IEEE Int. Conf. on Robotics and Automation , pp. 2986-2991
    • Wang, J.S.1    Lee, C.S.G.2
  • 29
    • 0035415951 scopus 로고    scopus 로고
    • A Fast Approach for Automatic Generation of Fuzzy Rules by Generalized Dynamic Fuzzy Neural Networks
    • S. Wu, M. J. Er, Y. Gao, (2001). "A Fast Approach for Automatic Generation of Fuzzy Rules by Generalized Dynamic Fuzzy Neural Networks," IEEE Trans. on Fuzzy Systems, 9, pp. 578-594.
    • (2001) IEEE Trans. on Fuzzy Systems , vol.9 , pp. 578-594
    • Wu, S.1    Er, M.J.2    Gao, Y.3
  • 30
    • 0028534525 scopus 로고
    • Soft Computing and Fuzzy Logic
    • L. A. Zadeh, (1994). "Soft Computing and Fuzzy Logic," IEEE Soft.
    • (1994) IEEE Soft
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.