改进的小波神经网络在桥梁施工控制中的应用  

Improved Wavelet Neural Network in Bridge Construction Control

作　　者：洪晓江[1] 张坤[1] 舒志云[1] 

机构地区：[1]重庆交通大学土木建筑学院,重庆400074

出　　处：《交通科技与经济》2012年第4期11-14,共4页Technology & Economy in Areas of Communications

基　　金：国家自然科学基金资助项目(50908246)

摘　　要：桥梁线形的预测和调整对于大跨径桥梁施工控制具有重要的指导作用。利用小波分析技术对实测数据进行消噪处理,将BP神经网络与Morlet小波结合起来,建立相应的小波神经网络模型,并对桥面标高偏差进行预测。结果表明,采用该方法对桥梁施工控制有较好的预测精度。The forecast and adjustment of construction control of construction of large-span bridges. We first alignment of bridge plays an important role in the make use of wavelet analysis to eliminate the noised produced by the measured data, and then combine BP neural network with Morlet wavelet to establish a useful wavelet neural network model which is applied to forecast the bias of deck elevation. The result of the tests shows that the method has effective forecasting precision in the bridge construction control.

关 键 词：施工控制 小波分析 神经网络 偏差预测 

分 类 号：U446.1[建筑科学—桥梁与隧道工程]