THE STUDY OF REAL-TIME DETECTING ALGORITHM ON EDDY CURRENT NONDESTRUCTIVE TESTING
Immune Radial Basis Function (IRBF) network is applied to real-time online detecting system. After completing the Eddy Current Nondestructive quantitative detecting (ECNDT)using classical RBF method, authors put forward using immune algorithm to optimize the network structure, and using Recursive Least Squares(RLS) algorithm to estimate weight vector. The comparison shows that the network structure is simplified strongly, computation is reduced greatly. This method can be applied online.
IRBF network ECNDT RLS immune algorithm
DONG-HUI LIU AI-ZU CHEN GUO-FU YANG
Hebei University of Science & Technology, Shijiazhuang 050054, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
2940-2943
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）