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Application of partial least squares regression in data analysis of mining subsidence

Application of partial least squares regression in data analysis of mining subsidence
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摘要 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 parameter β concerning 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 parameter β. The experiment shows that the forecasting model is reasonable. 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 parameter β concerning 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 parameter β. The experiment shows that the forecasting model is reasonable.
出处 《中国有色金属学会会刊:英文版》 CSCD 2005年第S1期156-158,共3页 Transactions of Nonferrous Metals Society of China
基金 Project(030501801) supported by the Key Laboratory of the State Bureau of Surveying and Mapping in Geographical Space InformationEngineering
关键词 strata-moving PARAMETER least SQUARES regression multi-collinear PLS regression strata-moving parameter least squares regression multi-collinear PLS regression
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