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Application of partial least squares regression in data analysis of mining subsidence
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作者 FENG Zun-de LU Xiu-shan +1 位作者 SHI Yu-feng HUA Peng 《中国有色金属学会会刊:英文版》 CSCD 2005年第S1期156-158,共3页
Based on the surveying data of strata-moving angle and the ordinary least squares regression,this paper is to construct,a regression model is constructed which is strata-moving parameterβconcerning the coal bed obliq... Based on the surveying data of strata-moving angle and the ordinary least squares regression,this paper is to construct,a regression model is constructed which is strata-moving parameterβconcerning the coal bed obliquity,coal thickness,mining depth,etc.But the regression is unsuccessful.The result is that none of the parameters is suited,this is not up to objective reality.This paper presents a novel method,partial least squares regression(PLS regression),to construct the statistic model of strata-moving parameterβ.The experiment shows that the forecasting model is reasonable. 展开更多
关键词 strata-moving parameter least squares regression multi-collinear PLS regression
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