A three-part input-output clustering-based approach to fuzzy system identification
暂无分享,去创建一个
[1] Lawrence O. Hall,et al. Generating fuzzy rules from data , 1996, Proceedings of IEEE 5th International Fuzzy Systems.
[2] M. Delgado,et al. An inductive learning procedure to identify fuzzy systems , 1993 .
[3] Paramasivan Saratchandran,et al. Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction , 2006, Fuzzy Sets Syst..
[4] Meng Joo Er,et al. A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks , 2001, IEEE Trans. Fuzzy Syst..
[5] Nikola K. Kasabov,et al. ESOM: an algorithm to evolve self-organizing maps from online data streams , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[6] Plamen P. Angelov,et al. Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models , 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..
[7] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[8] Serge Guillaume,et al. Designing fuzzy inference systems from data: An interpretability-oriented review , 2001, IEEE Trans. Fuzzy Syst..
[9] John Yen,et al. Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter , 1999, Fuzzy Sets Syst..
[10] Y Lu,et al. A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks , 1997, Neural Computation.
[11] Reza Langari,et al. Complex systems modeling via fuzzy logic , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.
[12] Yong-Zai Lu,et al. Fuzzy Model Identification and Self-Learning for Dynamic Systems , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[13] Tzung-Pei Hong,et al. Induction of fuzzy rules and membership functions from training examples , 1996, Fuzzy Sets Syst..
[14] D.P. Filev,et al. An approach to online identification of Takagi-Sugeno fuzzy models , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[15] Nikola Kasabov,et al. Evolving Self-Organizing Maps for On-line Learning, Data Analysis and Modelling , 2000 .
[16] P. Angelov,et al. Evolving Fuzzy Systems from Data Streams in Real-Time , 2006, 2006 International Symposium on Evolving Fuzzy Systems.
[17] Lizhong Wu,et al. A Smoothing Regularizer for Feedforward and Recurrent Neural Networks , 1996, Neural Computation.
[18] Jerry M. Mendel,et al. Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..
[19] Shyh Hwang,et al. An identification algorithm in fuzzy relational systems , 1996, Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium.
[20] Bernd Fritzke,et al. A Growing Neural Gas Network Learns Topologies , 1994, NIPS.
[21] J. C. Dunn,et al. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .
[22] Witold Pedrycz,et al. Conditional Fuzzy C-Means , 1996, Pattern Recognit. Lett..
[23] Jacek M. Leski. Generalized weighted conditional fuzzy clustering , 2003, IEEE Trans. Fuzzy Syst..
[24] Witold Pedrycz. Identification in fuzzy systems , 1984, IEEE Transactions on Systems, Man, and Cybernetics.
[25] Antonio F. Gómez-Skarmeta,et al. A fuzzy clustering-based rapid prototyping for fuzzy rule-based modeling , 1997, IEEE Trans. Fuzzy Syst..
[26] Visakan Kadirkamanathan,et al. A Function Estimation Approach to Sequential Learning with Neural Networks , 1993, Neural Computation.
[27] Chi-Cheng Cheng,et al. The fuzzy crystallization algorithm: a new approach to complex systems modeling , 2001, IEEE Trans. Syst. Man Cybern. Part B.
[28] Xiao-Jun Zeng,et al. An incremental construction learning algorithm for identification of T-S Fuzzy Systems , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).
[29] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[30] T. Martin McGinnity,et al. An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network , 2005, Fuzzy Sets Syst..
[31] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[32] Masao Mukaidono,et al. A New Approach to Rule Learning Based on Fusion of Fuzzy Logic and Neural Networks , 1995, IEICE Trans. Inf. Syst..
[33] Witold Pedrycz,et al. Linguistic models as a framework of user-centric system modeling , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[34] Ignacio Rojas,et al. A New Clustering Technique for Function Approximation , 2005 .
[35] Xiao-Jun Zeng,et al. An Input-Output Clustering Method for Fuzzy System Identification , 2007, 2007 IEEE International Fuzzy Systems Conference.
[36] Dimiter Driankov,et al. Fuzzy model identification - selected approaches , 1997 .
[37] George E. P. Box,et al. Time Series Analysis: Forecasting and Control , 1977 .
[38] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[39] John C. Platt. A Resource-Allocating Network for Function Interpolation , 1991, Neural Computation.
[40] Yu-Geng Xi,et al. A clustering algorithm for fuzzy model identification , 1998, Fuzzy Sets Syst..
[41] Witold Pedrycz,et al. Conditional fuzzy clustering in the design of radial basis function neural networks , 1998, IEEE Trans. Neural Networks.
[42] Euntai Kim,et al. A new approach to fuzzy modeling , 1997, IEEE Trans. Fuzzy Syst..
[43] Ta-WeiHUNG,et al. A TWO-PHASE APPROACH TO FUZZY SYSTEM IDENTIFICATION , 2003 .
[44] Isao Hayashi,et al. A learning method of fuzzy inference rules by descent method , 1992 .
[45] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[46] Stephen L. Chiu,et al. Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..
[47] L. A. Zadeh,et al. From Circuit Theory to System Theory , 1962, Proceedings of the IRE.
[48] Nikola K. Kasabov,et al. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction , 2002, IEEE Trans. Fuzzy Syst..