Fuzzy modeling based on generalized neural networks and fuzzy clustering objective functionsAn approach to the formulation of fuzzy if-then rules based on clustering objective functions is proposed. The membership functions are then calibrated with the generalized neural networks technique to achieve a desired input-output mapping. The learning procedure is basically a gradient-descent algorithm. A Kalman filter algorithm is used to improve the overall performance.
Document ID
19930029234
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Sun, Chuen-Tsai (NASA Ames Research Center Moffett Field, CA, United States)
Jang, Jyh-Shing (California Univ. Berkeley, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1991
Publication Information
Publication: In: IEEE Conference on Decision and Control, 30th, Brighton, United Kingdom, Dec. 11-13, 1991, Proceedings. Vol. 3 (A93-13001 02-63)
Publisher: Institute of Electrical and Electronics Engineers, Inc.