Neuro-Fuzzy Systems

This paper is about so-called neuro-fuzzy systems, which combine methods from neural network theory with fuzzy systems. Such combinations have been considered for several years already. However, the term neuro-fuzzy still lacks proper definition, and still has the flavour of a buzzword to it. In this paper we try to give it a meaning in the context of three applications of fuzzy systems, which are fuzzy control, fuzzy classification, and fuzzy function approximation.

[1]  B. Kosko.  Fuzzy systems as universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[2]  Ranjan Vepa,et al.  A Reinforcement Learning Algorithm based on "Safety" , 1993, FLAI.

[3]  Saman K. Halgamuge,et al.  Neural networks in designing fuzzy systems for real world applications , 1994 .

[4]  Igor Aleksander,et al.  Introduction to Neural Computing , 1990 .

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

[6]  James J. Buckley,et al.  Neural nets for fuzzy systems , 1995 .

[7]  J. Buckley.  Sugeno type controllers are universal controllers , 1993 .

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

[9]  James M. Keller,et al.  Backpropagation neural networks for fuzzy logic , 1992, Inf. Sci..

[10]  Rudolf Kruse,et al.  NEFCON-I: an X-Window based simulator for neural fuzzy controllers , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[11]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[12]  James C. Bezdek,et al.  Fuzzy Kohonen clustering networks , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[13]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[14]  Detlef Nauck,et al.  Foundations Of Neuro-Fuzzy Systems , 1997 .

[15]  P. K. Simpson.  Fuzzy Min-Max Neural Networks-Part 1 : Classification , 1992 .

[16]  Petri Vuorimaa,et al.  Fuzzy self-organizing map , 1994 .

[17]  Hamid R. Berenji,et al.  A reinforcement learning--based architecture for fuzzy logic control , 1992, Int. J. Approx. Reason..

[18]  Jacek M. Zurada,et al.  Introduction to artificial neural systems , 1992 .

[19]  L. Kuncheva,et al.  Improving classification performance using fuzzy MLP and two-level selective partitioning of the feature space , 1995 .

[20]  Chuen-Chien Lee.  FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[21]  Andrea Bonarini,et al.  A simple direct adaptive fuzzy controller derived from its neutral equivalent , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

[22]  Rudolf Kruse,et al.  DESIGNING NEURO-FUZZY SYSTEMS THROUGH BACKPROPAGATION , 1996 .

[23]  Frank Klawonn,et al.  Fuzzy control on the basis of equality relations with an example from idle speed control , 1995, IEEE Trans. Fuzzy Syst..

[24]  Nadine N. Tschichold-Gürman,et al.  Generation and improvement of fuzzy classifiers with incremental learning using fuzzy RuleNet , 1995, SAC '95.

[25]  Michio Sugeno,et al.  An introductory survey of fuzzy control , 1985, Inf. Sci..

[26]  J. Buckley,et al.  Fuzzy neural networks: a survey , 1994 .

[27]  Isao Hayashi,et al.  A learning method of fuzzy inference rules by descent method , 1992 .

[28]  Patrick K. Simpson,et al.  Fuzzy min-max neural networks. I. Classification , 1992, IEEE Trans. Neural Networks.

[29]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[30]  R. Fisher.  THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[31]  Richard S. Sutton,et al.  Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[32]  Tomaso A. Poggio,et al.  Extensions of a Theory of Networks for Approximation and Learning , 1990, NIPS.

[33]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[34]  Frank Klawonn,et al.  Foundations of fuzzy systems , 1994 .

[35]  Rudolf Kruse,et al.  NEFCLASSmdash;a neuro-fuzzy approach for the classification of data , 1995, SAC '95.

[36]  Rudolf Kruse,et al.  Neuro-fuzzy systems for function approximation , 1999, Fuzzy Sets Syst..

[37]  Patrick K. Simpson,et al.  Fuzzy min-max neural networks - Part 2: Clustering , 1993, IEEE Trans. Fuzzy Syst..

[38]  Sankar K. Pal,et al.  Multilayer perceptron, fuzzy sets, and classification , 1992, IEEE Trans. Neural Networks.

[39]  H. C. Card,et al.  Linguistic interpretation of self-organizing maps , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[40]  Stephen Grossberg,et al.  Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps , 1992, IEEE Trans. Neural Networks.