Research of Meridian Diagnosis System Based on SVM

摘要：

Aiming at the deficiency of the current meridian diagnosis algorithms, SVM is applied to meridian diagnosis system. The system structure is described firstly, then the model selection of SVM is discussed in detail by taking chronic pharyngitis as an example: one-against-one method is used to realize multi-class; the problem of non-symmetrical samples of C-SVM is solved by giving positive and negative samples of different weights; a margin-based bound on generalization method is used to search parameters of the model. Finally, test results show that the classifier, which is realized and tested using vc++6.0, possess a very high recognition rate and can be applied to meridian diagnosis system.

关键词： Meridians Diagnosis System SVM Nonsymmetrical Samples Generalization Bound

作者: Guo-Xia Zhang Fu-Qiang Liu Chun-Lin Song Pei-Yuan Lai

作者单位: BW&M Institute,The Key Laboratory of Embedded System and Service Computing,Ministry of Education Tongji University Shanghai,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）