Evaluation of Chinas Oil Security Based on Support Vector Machine (SVM) Theory

摘要：

The principle and methods of Support Vector Machine (SVM) are introduced in this dissertation, evaluation indicators system and early warning systems for oil security are established. On this basis, SVM algorithm and oil security evaluation system are combined to evaluate for oil security. The predicted result showing that it has higher accuracy, Therefore, the safety evaluation index system in the dissertation can be used as the basis of assessment quantitative criteria for Chinas oil security situation.

关键词： SVM oil security evaluation indicators early warning systems Analysis and Evaluation

作者: Zhang-Guoying Liang-Wenge

作者单位: School of Management of Tianjin University School of Economics & Management of Zhejiang University o Shanxi Coke Group Company, Taiyuan, China

会议类型: 国际会议

会议名称: 2010 International Conference of Informationa Science and Management Engineering(2010年信息科学与管理工程国际学术会议 ISME 2010)

会议地点: 西安

会议语种:英文

页码: 1042-1045

在线出版日期: 2010-08-07（万方平台首次上网日期，不代表论文的发表时间）