DocumentCode
416687
Title
Universal learning networks with adaptive node functions
Author
Goto, Kenichi ; Hirasawa, Kotaro ; Hu, Jinglu
Author_Institution
Graduate Sch. of Information, Production & Syst., Waseda Univ., Fukuoka, Japan
Volume
3
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
2415
Abstract
In this paper, a new architecture of neural networks is proposed named universal learning networks with adaptive node functions (ULNs with ANF), which aims at improving the learning performance and generalization ability of neural networks in terms of constructing node functions especially fitted for a certain problem. The simulation results show that the proposed method is effective for constructing networks.
Keywords
generalisation (artificial intelligence); learning (artificial intelligence); learning systems; neural net architecture; adaptive node functions; neural networks; universal learning networks;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1323624
Link To Document