The study of real-time detecting algorithm on eddy current nondestructive testing

被引：0
|
作者：
Liu, Dong-Hui [1 ]
Chen, Ai-Zu [1 ]
Yang, Guo-Fu [1 ]
机构：
[1] Hebei Univ Sci & Technol, Shijiazhuang 050054, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
IRBF network; ECNDT; RLS; immune algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：2940 / +
页数：2
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