DocumentCode
328319
Title
Are regular fuzzy neural nets universal approximators?
Author
Buckley, James J. ; Hayashi, Yoichi
Author_Institution
Dept. of Math., Alabama Univ., Birmingham, AL, USA
Volume
1
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
721
Abstract
We argue that if fuzzy neural nets use fuzzy arithmetic based on the extension principle they cannot be universal approximators. This negative result is important when contrasted with the fact that neural nets are universal approximators.
Keywords
approximation theory; feedforward neural nets; fuzzy neural nets; fuzzy set theory; fuzzy arithmetic; fuzzy neural nets; fuzzy set theory; universal approximators; Control systems; Extraterrestrial measurements; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Mathematics; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.714015
Filename
714015
Link To Document