10.3321/j.issn:0254-3087.2008.05.003
Study on flaw identification of ultrasonic signal for large shafts based on optimal support vector machine
support vector machine、Support vector machine、nondestructive testing、identification system、feature extraction、identification of、neural network、BP network
29
TP3;O1
Foundation item: Supported by the Research Program of International Technology Collaboration and Communication of Sichuan2007H12-017
2008-07-08(万方平台首次上网日期,不代表论文的发表时间)
共6页
908-913