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
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;
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
DOI :
10.1109/ICCASM.2010.5620595
