A Modeling Method to Size Concentration in Slashing Process using Principal Component Analysis

摘要：

A statistical modeling method to size concentration is presented based on multi-sensor information fusion and principal component regression analysis. The criteria for selecting principal components are adopted in modeling procedure in which the relation between the signs of regression coefficients and the signs of correlation coefficients is considered as rules for principal component selection. The results of example demonstrate that a size concentration model with the lower relative errors can be obtained by using strict rules for principal component selection.

关键词： Size concentration Modeling Principal component analysis Information fusion

作者: Zhang Yuxian Wang Jianhui

作者单位: Department of Automation Tsinghua University Beijing, China Faculty of Information Science and Engineering Northeastern University Shenyang, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）