DocumentCode :
3564366
Title :
Approximation ability of regular fuzzy neural networks to fuzzy-valued functions in MS convergence structure
Author :
Qing-Song Mao
Author_Institution :
Coll. of Teacher Educ., Jimei Univ., Xiamen, China
fYear :
2013
Firstpage :
3515
Lastpage :
3518
Abstract :
This paper shows that four-layer regular fuzzy neural networks can approximate MS-continuous fuzzy-valued function in the MS convergence structure.
Keywords :
approximation theory; convergence; fuzzy neural nets; MS convergence structure; MS-continuous fuzzy-valued function; regular fuzzy neural network approximation ability; Approximation methods; Convergence; Fuzzy neural networks; Measurement; Neural networks; Nonhomogeneous media; Piecewise linear approximation; Approximation; Fuzzy numbers; MS convergence; Regular fuzzy neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Type :
conf
Filename :
6640029
Link To Document :
بازگشت