高层建筑物沉降监测  

Settlement Monitoring of High-Rise Building

作　　者：王观鹏 陈建忠[1] 

机构地区：[1]山东省国土测绘院,济南250000

出　　处：《工程建设与设计》2017年第22期41-42,46,共3页Construction & Design for Engineering

摘　　要：主要采用小波神经网络法对高层建筑物的沉降进行监测,对小波神经网络模型的构建进行分析,同时结合威海市的高层建筑沉降值监测,确定小波神经网络监测法的准确度以及误差,通过分析发现,小波神经网络监测法具有更高的准确度以及较低的误差,适用于高层建筑物沉降的监测。This paper mainly adopts the wavelet neural network to monitor the subsidence of high-rise building, analyzes the construction of wavelet neural network model, combining with the subsidence monitoring of high-rise building in Weihai city at the same time, determines the accuracy and error of the wavelet neural network monitoring method, through the analysis, we find that the wavelet neural network monitoring method has higher accuracy and lower error, and is suitable for tall building subsidence monitoring

关 键 词：高层建筑物 沉降 小波神经网络 

分 类 号：TU208.3[建筑科学—建筑设计及理论]