Study on Application of Support Vector Machine in Coal Reserve Calculation

摘要：

A method of coal reserve calculation based on support vector machine (SVM) is put forward in this paper. Statistical learning theory and support vector machines were introduced and the method of Support Vector Machine technology in coal reserve Calculation is represented. The method can fitting forecast other samples rapidly and accurately based on the studying of a small sample with better generalization and accuracy. The results of applying Support Vector Machine and traditional methods were compared and analyzed by using ChenCun mine YiMa bureaus exploration and exploitation data as experimental data, the result shows this method is simple and feasible and have certain application value.

关键词： Support Vector Machine Statistical learning theory Coal reserve Accuracy Analysis

作者: Liu Wenkai Wang Ruifang

作者单位: Jiaozuo Teachers College, Jiaozuo 454000, Henan, China;School of Geodesy and Geomatics, Wuhan Unive Department of Surveying Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China

会议类型: 国际会议

会议名称: The 2007 International Symposium on Safety Science and Technology(2007采矿科学与安全技术国际学术会议)

会议地点: 河南焦作

会议语种:英文

页码: 347-351

在线出版日期: 2007-04-17（万方平台首次上网日期，不代表论文的发表时间）