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《Science of Surveying and Mapping》 2007-01
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Prediction of SISE based on improved time series trend extrapolation model

GUO Ying ①②,DANG Ya-min ①,LU Xiu-shan ②(①Chinese Academy of Surveying and Mapping,Beijing 100039;②Geoinformation Science & Engineering College,ShanDong University of science and technology,Qingdao 266510)  
Based on the characteristics of distribution of SISE and theory of trend extrapolation of time series,we selected cubic polynomial predict model.The results show that this model is available.To improve the accuracy of prediction,a mean balance factor was added.Some experiments illustrated that prediction model is very well.
【Fund】: 国家自然科学基金项目(40504003)
【CateGory Index】: P228
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