變形監(jiān)測數(shù)據(jù)及分析與預報研究-資料下載頁
2025-08-22 14:26本頁面
【正文】 的可信程度及數(shù)據(jù)間的相對精度以權重表示。數(shù)據(jù)的可靠性越高，則賦予的權重越大，表示數(shù)據(jù)建模中的可信度越大。在灰色模型預測中，采用灰色加權模型，以減少量化的盲目性和隨意性，提高預報精度。參考文獻⑴ 鄧聚龍．灰色系統(tǒng)基本方法[M]．武漢：華中理工大學出版社，1987.⑵ 李希燦．動態(tài)平差灰色預測優(yōu)化模型[J]．測繪工程，1999，8(1)：34～35．⑶ 陶本藻．測量數(shù)據(jù)統(tǒng)計分析[M]．北京：測繪出版社．1992．⑷ 吳翊，等．應用數(shù)理統(tǒng)計[M]．長沙：國防科技大學出版社，1995．⑸ 中國科學院數(shù)學研究所數(shù)理統(tǒng)計組．回歸統(tǒng)計方法[M]．北京：科學出版社，1974．⑹ 蘇金明，阮沈勇．[M]．北京：電子工業(yè)出版社，2002．A study of the analysis and forecast of deformation monitoring dataWangWeiBiaoCivil Engineering College NanJing of Technology 210009 JiangSu NanJingAbs tract: The analysis and forecast of data are major contents in the processing of deformation monitoring data. How to use finite deformation monitoring data and choose rational model to accurately forecasts deformation is one of the most importanttask of the study of the processing of deformation monitoring data. This thesis research the application on the prediction model of Grey System. Theory GM () model of Grey System Theory is used in prediction . to make out the analysis and predict about the future behavior of the constructional work in time by holding the variety rule using longterm accumulated surveying datum.Key words：Deformation monitoring。 Gray system theory。 GM(1,1) model
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