Recurrent Neural Fuzzy NetworkTechniques and Applications

[1]  Marios M. Polycarpou,et al.  High-order neural network structures for identification of dynamical systems , 1995, IEEE Trans. Neural Networks.

[2]  C. S. George Lee,et al.  Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems , 1994, IEEE Trans. Fuzzy Syst..

[3]  David W. Clarke,et al.  Generalized predictive control - Part I. The basic algorithm , 1987, Autom..

[4]  A. Cipriano,et al.  Fuzzy model based control for a mineral flotation plant , 1994, Proceedings of IECON'94 - 20th Annual Conference of IEEE Industrial Electronics.

[5]  Barak A. Pearlmutter Gradient calculations for dynamic recurrent neural networks: a survey , 1995, IEEE Trans. Neural Networks.

[6]  Chin-Teng Lin,et al.  Reinforcement learning for an ART-based fuzzy adaptive learning control network , 1996, IEEE Trans. Neural Networks.

[7]  Hugues Bersini,et al.  Recurrent fuzzy systems , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[8]  Stephen A. Billings,et al.  Recurrent radial basis function networks for adaptive noise cancellation , 1995, Neural Networks.

[9]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[10]  L X Wang,et al.  Fuzzy basis functions, universal approximation, and orthogonal least-squares learning , 1992, IEEE Trans. Neural Networks.

[11]  Jong-Hwan Kim,et al.  Generalized predictive control using fuzzy neural network model , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[12]  Abdollah Homaifar,et al.  Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms , 1995, IEEE Trans. Fuzzy Syst..

[13]  Jie Zhang,et al.  Recurrent neuro-fuzzy networks for nonlinear process modeling , 1999, IEEE Trans. Neural Networks.

[14]  Karvel K. Thornber,et al.  Representation of fuzzy finite state automata in continuous recurrent, neural networks , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[15]  J. Grantner,et al.  Synthesis and analysis of fuzzy logic finite state machine models , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[16]  Chuen-Tsai Sun,et al.  Functional equivalence between radial basis function networks and fuzzy inference systems , 1993, IEEE Trans. Neural Networks.

[17]  Charles L. Karr,et al.  Design of a cart-pole balancing fuzzy logic controller using a genetic algorithm , 1991, Defense, Security, and Sensing.

[18]  Uk-Youl Huh,et al.  Fuzzy model based predictive control , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[19]  S. W. Piche,et al.  Steepest descent algorithms for neural network controllers and filters , 1994, IEEE Trans. Neural Networks.

[20]  Kumpati S. Narendra,et al.  Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.

[21]  Derek A. Linkens,et al.  Learning control using fuzzified self-organizing radial basis function network , 1993, IEEE Trans. Fuzzy Syst..

[22]  Hidetomo Ichihashi,et al.  Learning chaotic dynamics in recurrent RBF network , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[23]  F. A. Unal,et al.  A fuzzy finite state machine implementation based on a neural fuzzy system , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[24]  Michael I. Jordan Attractor dynamics and parallelism in a connectionist sequential machine , 1990 .

[25]  Ching-Hung Lee,et al.  Identification and control of dynamic systems using recurrent fuzzy neural networks , 2000, IEEE Trans. Fuzzy Syst..

[26]  Alberto Del Bimbo,et al.  Block-structured recurrent neural networks , 1995, Neural Networks.

[27]  M. Sugeno,et al.  Derivation of Fuzzy Control Rules from Human Operator's Control Actions , 1983 .

[28]  Fabio Massimo Frattale Mascioli,et al.  Cascade neural network for binary mapping , 1993, IEEE Trans. Neural Networks.

[29]  Chin-Teng Lin,et al.  A recurrent self-organizing neural fuzzy inference network , 1999, IEEE Trans. Neural Networks.

[30]  P. Werbos,et al.  Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .

[31]  Isao Hayashi,et al.  NN-driven fuzzy reasoning , 1991, Int. J. Approx. Reason..

[32]  Ronald J. Williams,et al.  A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.

[33]  P. S. Sastry,et al.  Memory neuron networks for identification and control of dynamical systems , 1994, IEEE Trans. Neural Networks.

[34]  Reza Langari,et al.  Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques , 1995, IEEE Trans. Fuzzy Syst..

[35]  Hamid R. Berenji,et al.  Learning and tuning fuzzy logic controllers through reinforcements , 1992, IEEE Trans. Neural Networks.

[36]  John C. Platt A Resource-Allocating Network for Function Interpolation , 1991, Neural Computation.

[37]  John Moody,et al.  Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.

[38]  Kazuo Tanaka,et al.  Modeling and control of carbon monoxide concentration using a neuro-fuzzy technique , 1995, IEEE Trans. Fuzzy Syst..

[39]  Yoshiki Uchikawa,et al.  On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm , 1992, IEEE Trans. Neural Networks.

[40]  C. Lee Giles,et al.  Pruning recurrent neural networks for improved generalization performance , 1994, IEEE Trans. Neural Networks.

[41]  M.A. Lee,et al.  Integrating design stage of fuzzy systems using genetic algorithms , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.