改进后的GOM(1,1)模型在基坑沉降预测中的应用  

Application of Improved GOM(1,1) Model in Foundation Pit Settlement Prediction

作　　者：覃劭峰 韩达光[2] 徐进军[1] 廖骅 

机构地区：[1]武汉大学测绘学院,武汉市珞喻路129号430079 [2]中冶建筑研究总院有限公司,北京市西土城路33号北京100088

出　　处：《测绘地理信息》2015年第5期46-48,51,共4页Journal of Geomatics

基　　金：国家自然科学基金资助项目(41274021)

摘　　要：针对基坑变形的特点,在GM(1,1)模型的建模原理上建立了反向累加灰色模型。结合反向累加序列的建模特点,提出了一种对积分参数c、初始值以及背景值同时进行优化的GOM(1,1)模型。通过实例验证了本文提出的改进后的GOM(1,1)模型能够提高基坑变形的预测精度,验证了该方法的有效性和实用性。In order to improve the accuracy of foundation pit settlement prediction,the paper,according to the characteristics of foundation pit deformation,builds reverse accumulative gray model based on the GM（1,1）model. Combined with characteristics of accumulative sequences in opposite-direction,the paper puts forward a kind of GOM（1,1）model whose integral parameter,initial value and background value are optimized at the same time,to improve the prediction results. In the end,an application is given to demonstrate that the optimized GOM（1,1）model can improve the prediction precision of the foundation pit deformation,which proves the practicability and effectiveness of the optimized model.

关 键 词：反向累加生成 GM模型 参数改进 沉降预测 

分 类 号：N941.5[自然科学总论—系统科学]