摘要
原矿品位是矿山生产中非常重要的技术经济指标。探讨了支持向量机回归分析方法在原矿品位分析上的应用。以某金、铜多金属矿为研究对象,进行了实例计算,并取得了较好的效果。计算结果显示支持向量机回归的预测精度明显优于经典的一元线形回归。
The grade of raw ore is a very important technical and economical index for mining enterprises. In this paper, Support Vector Regression （SVR） is introduced for analyzing the grade of raw ore. The grades of an Au - Cu polymetallic ore are calculated, and good results, the results show that the prediction precision of SVR model is obviously better than that of classical one -variable linear regression analysis.
出处
《矿业研究与开发》
CAS
北大核心
2007年第4期37-38,56,共3页
Mining Research and Development
关键词
原矿
品位分析
支持向量机
回归分析
Raw ore, Grade analysis, Support vector ma- chine, Regression analysis
