AUTOMATICALLY EXTRACTING AND OPTIMIZING FUZZY RULE BASE

Bart Kosko. Neural Networks and Fuzzy Systems:A Dymanical Systems Approach to Machine Intelligence. Prentice-Hall Intelligence, Inc, 1992, 299-337.[2]Sulzberger M, Tschichold-Goldberg David E. Genetic Algorithms in Search. OptimizationMachine Learning, Reading. MA: Addison Wesley Publishing Company, Inc., 1989, Chap3, 4.[3]Goldberg David E. Genetic Algorithms in Search.[4]Addison Wesley Publishing Company, Inc.[J]..1989,Optimization Machine Learning:-[5]Karr L, Gentry J. IEEE Trans. on FS, 1993, FS-1(1): 46-53.[6]Mclnerney, Dhawan P. Use of Genetic Algorithms with Back Propagation in Training of Feed-Forward Neural Networks. IEEE ICNN, Vol.l, San Francisco: March 28-April 1, 1993: 203-208.Koza R, Keane A, Rice P. Performance Improvement of Machine Learning via Automatic Discovery of Facilitating Functions as Applied to a Problem of Symbolic System Identification. IEEE ICNN, Vol.l, San Francisco: March 28-April 1, 1993: 191-198.[7]Bornholdt Stefan, Graudenz Dirk. Neural Networks, 1992, 5(2): 327-334.[8]Yung Yaw Chen, Tsu Chin Tsao. IEEE Trans. on SMC., 1989, SMC-19(4): 745-755.[9]Smith Samuel M, Comer David J. IEEE Control Systems Magazine, 1991, 11(5): 18-28.[10]Hsu C S. Journal of Optimization Theory and Application, 1985, 46(4): 547-567.