DocumentCode
3254390
Title
Implementation of fuzzy max-min neural controller
Author
Hayashi, Yoichi ; Buckley, James J.
Author_Institution
Dept. of Comput. Sci., Meiji Univ., Kawasaki, Japan
Volume
6
fYear
1995
fDate
Nov/Dec 1995
Firstpage
3113
Abstract
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
Keywords
fuzzy control; fuzzy neural nets; maximum principle; minimax techniques; neurocontrollers; error change; fuzzy max-min neural controller; fuzzy sets; max-min operations; Computer errors; Computer science; Error correction; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Hybrid intelligent systems; Mathematics; Neural networks; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.487281
Filename
487281
Link To Document