Wear Particals Recognition Method Based on Multi-Support Vector Machine

摘要：

For solving the defect of traditional classificatory with many samples, a new classificatory recognizing wear particles based on MSVM (Multi-Support Vector Machine) is proposed.SVM is a new machine study method which has excellent advantages in small-sample and multi-dimension binary classification.The new Multi-SVM classificatory can be studied in few samples rapidly to recognize several kinds of new debris.At the same time, the experiments showed that recognizing correct rate increased more greatly compared with traditional BP method.

关键词： Multi-SVM debris recognition classificatory few samples

作者: YU Zhihong

作者单位: Department of Safety Engineering in the China Institute of Industrial Relations Beijing,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 341-344

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）