机构：[1]The 2nd Affiliated Hospital, Guangzhou University of TCM, Guangzhou, 510120, China[2]College of Information Science and Technology, Zhongshan University, Guangzhou, 510275, China
Based on traditional SVM, Prior knowledge Support Vector Machine (P-SVM) introduces application-oriented metrics into the training set to express expert knowledge. Developing with SLT theory, it is a new classification and prediction method established on firm mathematical foundation. Also, SVM provides the best solution of classification and prediction of limited sample set. In this paper, we introduce prior knowledge based P-SVM model into the software-developing project: Information Management System of TCM Syndrome, funded by the Guangdong Bureau of Traditional Chinese Medicine (TCM) Administration. After forming the rules from expert knowledge, we at first calculate the confidence values of each sample, and then use the sample set to train P-SVM by using P-SMO algorithm, which is a prior knowledge based improved version out of the traditional ones. Experiments show that our algorithm is effective. And the knowledge derived from TCM Syndrome also confirms great accuracy of the classification process.
基金：
National Natural Science Foundation of China (60205007), Natural Science Foundation of Guangdong Province (031558, 04300462), Research Foundation of National Science and Technology Plan Project (2004BA721A02), Research Foundation of Science and Technology Plan Project in Guangdong Province (2003C50118) and Research Foundation of Science and Technology Plan Project in Guangzhou City(2002Z3-E0017).
语种：
外文
被引次数：
WOS：
第一作者：
第一作者机构：[1]The 2nd Affiliated Hospital, Guangzhou University of TCM, Guangzhou, 510120, China
通讯作者：
推荐引用方式(GB/T 7714)：
Yang XB,Liang ZH,Zhang G,et al.A classification algorithm for TCM syndromes based on P-SVM[J].PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9.2005,3692-3697.doi:10.1109/ICMLC.2005.1527582.
APA：
Yang, XB,Liang, ZH,Zhang, G,Luo, YJ&Yin, J.(2005).A classification algorithm for TCM syndromes based on P-SVM.PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9,,
MLA：
Yang, XB,et al."A classification algorithm for TCM syndromes based on P-SVM".PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 .(2005):3692-3697
