Fuzzy Neural Net System

Knowledge base systems utilizing expertise of specialists in particular fields are successfully processing knowledge and information in many industries taking over limited specific jobs that used to be performed by human specialists. However, such performance of a given procedure is not always satisfactory. New AI technologies have been developed for the purpose of realizing “a system that understands human’s idea, coordinates available knowledge and assists to use the original idea to its logical extreme”. As these new AI technologies develop, more and more researchers are involved in research of FAN (fusion of Fuzzy, AI and Neural Networks) technology to produce new features by combining fuzzy information processing and neural network technology with traditional AI technologies.

[1]  Shun-ichi Amari,et al.  Statistical neurodynamics of associative memory , 1988, Neural Networks.

[2]  Y. Hayashi,et al.  Direct Fuzzification of Neural Network and Fuzzified Delta Rule , 1992 .

[3]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  Bernard Widrow,et al.  Adaptive switching circuits , 1988 .

[5]  Kenji Doya,et al.  Adaptive neural oscillator using continuous-time back-propagation learning , 1989, Neural Networks.

[6]  Waldemar Karwowski The Human World of Fuzziness, Human Entropy and General Fuzzy Systems Theory , 1992 .

[7]  Ebrahim Mamdani,et al.  Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .

[8]  David Levy,et al.  Book review: Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence by Bart Kosko (Prentice Hall 1992) , 1992, CARN.

[9]  Bart Kosko,et al.  Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..

[10]  Toru Yamaguchi,et al.  Multilayered reasoning by means of conceptual fuzzy sets , 1996 .

[11]  B Kosko,et al.  Adaptive bidirectional associative memories. , 1987, Applied optics.

[12]  Yoshiki Uchikawa,et al.  A Learning Fuzzy Controller Using a Neural Network , 1991 .

[13]  T. Takagi,et al.  Fuzzy Associative Inference System and its features , 1992, [Proceedings 1992] IEEE International Conference on Systems Engineering.

[14]  K. Doya,et al.  Intelligent control of a flying vehicle using fuzzy associative memory system , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[15]  Tsutomu Mita,et al.  Self-organizing control using fuzzy neural networks , 1992 .

[16]  Masafumi Hagiwara,et al.  Extended fuzzy cognitive maps , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[17]  Toru Yamaguchi,et al.  Flying Vehicle Control with Fuzzy Model and Its Stabilization Study , 1992 .

[18]  Constantin V. Negoita,et al.  On Fuzzy Systems , 1978 .

[19]  T. Yamaguchi,et al.  FUZZY ASSOCIATIVE MEMORY APPLICATIONS TO CONTROL , 1991 .

[20]  Toru Yamaguchi,et al.  Dynamic Model for A Plant Using Associative Memory System , 1992 .

[21]  T. Mita,et al.  Fuzzy adaptive control with an associative memory system , 1991 .