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Implementation of fuzzy max-min neural controller

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2 Author(s)
Hayashi, Y. ; Dept. of Comput. Sci., Meiji Univ., Kawasaki, Japan ; Buckley, J.J.

We consider a fuzzy controller that processes fuzzy data in which error, change in error, etc. are all fuzzy sets. We construct, and train, a new type of neural net to model the fuzzy controller. Properties of this new type of neural net include: (1) max-min operations; and (2) a modified delta rule for learning. An example is presented showing the applicability of our fuzzy max-min neural controller

Published in:
Neural Networks, 1995. Proceedings., IEEE International Conference on  (Volume:6 )

Date of Conference: Nov/Dec 1995

Page(s):
3113 - 3117 vol.6
Meeting Date :
27 Nov 1995-01 Dec 1995
Print ISBN:
0-7803-2768-3
INSPEC Accession Number:
5268512
Conference Location :
Perth, WA
Digital Object Identifier :
10.1109/ICNN.1995.487281
Product Type:
Conference Publications

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