Application of Principal Component Analysis Method to Determine Prediction Indexes Sensibility Sequence

摘要：

Screening out sensitivity prediction indexes fit for the coal mine is very important technical work in coal and gas outburst prediction process. The feasibility that principal component analysis method been used in the coal and gas outburst prediction index screening is discussed. Through using gray correlation analysis method and principal component analysis method to analysis a batch of measured data of a coal mine, the validity of the latter is proved. Through the contrast of process between the gray correlation analysis and the principal component analysis method, the vantage of principal component analysis method is obvious, that is the better maneuverability, simplicity and easier to extend.

关键词： principal component analysis method sensitivity of prediction index sequence feasibility analysis validity analysis

作者: Yang Guo-liang Wang Can-zhao Wu Shi-yue Jia Li-qing Zhang Sheng-zhu

作者单位: Faculty of Resources and Safety Engineering, China University of Mining & Technology (Beijing), Coll Xinji 1＃ Coalmine SDIC Xinji Energy Co. Ltd., Xinji Towm Anhui Province, 232170, China Taiyuan University of Technology, 79 Yingze Street, Taiyuan, 030024, China Yankuang Liuhuanggou Coal Mine in Xinjiang Mining, Xinjiang Changji, 831114, China

会议类型: 国际会议

会议名称: The First International Symposium on Mine Safety Science and Engineering (首届矿山安全科学与工程学术会议)

会议地点: 北京

会议语种:英文

页码: 1126-1131

在线出版日期: 2011-10-27（万方平台首次上网日期，不代表论文的发表时间）