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《Science of Surveying and Mapping》 2011-06
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GM(1,1) model of time sequence variation regression

CHEN Xi-jiang①,LU Tie-ding②(①School of Geological Science and Surveying Engineering,East China Institute of Technology,Jiangxi Fuzhou 344000,China;②School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China)  
In the paper,the residual was proposed to introduce to time sequence in view of the residual that was caused by ash parameter and background value in the prediction model of GM(1,1).Time sequence was been taken variation.Different curve regression equations were used to estimate the variation time sequence.It chose the best regression equation as variation time sequence prediction equation of GM(1,1) based on the error analysis of the different estimation results.And it used prediction results as variable k of GM(1,1).The example showed that GM(1,1) model of time sequence variation regression had high accuracy of simulation and prediction.
【Fund】: 国家自然科学基金资助项目(40874010);; 江西省自然科学基金资助项目;; 江西省教育厅科技资助项目;; 地球空间环境与大地测量教育部重点实验室开放基金资助项目(080101)
【CateGory Index】: P207
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