Analysis of the Factors Influencing the Open-pit Iron Mines Ore Cost Based on Partial Least Square Regression

摘要：

Ore cost controlling have an important influence on the economic benefit of the mines, thus to analyze its main factors have already absorbed the attentions. As the factors always have severe multicollinearity which make the results less reliable, so a partial least square regression model was adopted to correct it, which proved to have better interpretation ability. Finally, some measures and proposals were brought forward.

关键词： ore cost open-pit iron mine partial least square regression

作者: Wang Wenxiao Zhang Minggui Cai Sijing

作者单位: University of Science and Technology Beijing, Beijing 100083, China University of Science and Technology Beijing, Beijing 100083, China Jiangxi University of Science an

会议类型: 国际会议

会议名称: The 6th International Conference on Partial Least Squares and Related Methods(第六届偏最小二乘及相关方法国际会议)

会议地点: 北京

会议语种:英文

页码: 295-299

在线出版日期: 2009-09-04（万方平台首次上网日期，不代表论文的发表时间）