DocumentCode
532474
Title
The application of RBF network with ant colony algorithm in eddy current nondestructive detecting
Author
Li, Aihua ; Sun, Xiaoyun ; Liu, Donghui ; An, Guoqing
Author_Institution
Dept. of Electr. Eng., Ordnance Eng. Coll., Shijiazhuang, China
Volume
4
fYear
2010
fDate
22-24 Oct. 2010
Abstract
In eddy current nondestructive detecting, ant colony algorithm is adopted to select the centers of RBF network. The traditional clustering algorithm of RBF can´t cluster much better, so the training speed and structure are limited. In this paper, ant colony algorithm with better optimal capability is used for optimize RBF network. The simulation result shows that ant colony algorithm has much optimal network than OLS algorithm. And the training speed and network robust are improved. It can be used for eddy current nondestructive detecting.
Keywords
computational electromagnetics; eddy current testing; optimisation; pattern clustering; radial basis function networks; RBF network; ant colony algorithm; clustering algorithm; eddy current nondestructive detection; Sun; RBF network; ant colony algorithm; eddy current nondestructive detecting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620595
Filename
5620595
Link To Document