DocumentCode
3730321
Title
Approximation of regular fuzzy neural networks based on Sugeno integral
Author
Shan Cao
Author_Institution
Sch. of Sci., Commun. Univ. of China, Beijing, China
fYear
2015
Firstpage
39
Lastpage
43
Abstract
We study approximation of fuzzy neural networks on regular subadditive fuzzy measure spaces. We shall show that four-layer regular fuzzy neural networks can approximate any fuzzy-valued measurable function for fuzzy integral (Sugeno integral) and the Shilkret integral norm, respectively. Since the continuity of fuzzy measures is not required, the previous results obtained by other researchers are generalized.
Keywords
"Fuzzy neural networks","Extraterrestrial measurements","Iron","Manganese","Feedforward neural networks"
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
Type
conf
DOI
10.1109/FSKD.2015.7381911
Filename
7381911
Link To Document