改进的新陈代谢GM(1,1)模型在建筑物沉降预测中的应用  

Improved Metabolism Grey Forecasting Model and Its Application in Building Settlement Prediction

作　　者：赵磊磊 花向红[1,2] 邵梽 赵朋 ZHAO Leilei;HUA Xiang hong;SHAO Zhi;ZHAO Peng(School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China;Hazard Monitoring and Prevention Research Center,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学測绘学院,湖北武汉430079 [2]武汉大学灾害监测和防治研究中心,湖北武汉430079

出　　处：《测绘地理信息》2019年第6期120-122,共3页Journal of Geomatics

基　　金：国家自然科学基金(41674005,41374011,41174010)

摘　　要：对新陈代谢GM(1,1)模型所采用的灰色预测方法进行了改进,运用新的代数递推方程替代了原始的灰色微分方程,并利用某建筑物的沉降观测数据进行了预测与分析,结果表明,改进后的新陈代谢GM(1,1)模型的预测精度得到了显著提高。The method of grey prediction used by metabolism grey forecasting model is improved in this paper in which the original grey differential equation is replaced by a new algebraic recursive equation and forecast and analysis of a settlement data are carried out. The result shows that the prediction accuracy of improved metabolism grey forecasting model was significantly improved.

关 键 词：建筑物沉降 新陈代谢GM(1 1)模型 模型改进 预测精度分析 

分 类 号：P258[天文地球—测绘科学与技术] TU463[建筑科学—结构工程]