摘要
阐述小波神经网络模型法的基本原理与程序实施步骤,探讨了斜拉桥施工监测数据与小波网络间的联系,建立了基于小波网络的斜拉桥施工控制预测模型.以工程实例为背景,对武汉天兴洲长江大桥实际监控数据进行预测分析.研究表明:小波网络预测值与实测值基本一致,其精度满足工程及其控制的要求.
The basic theory and implementing steps of wavelet neural network are introduced.The internal relations between monitoring data and the wavelet neural network are discussed.A predicting model is set up base on wavelet neural network.With engineering practice example for background,the elevation of cantilever installation and initial cable force of Tianxinzhou cable-stayed bridge are simulated and predicted by means of the wavelet network.The results show that the predicting the value by wavelet network nearly accords with measuring value,the predicting method and the precision satisfy the request of the engineering and construction control.
出处
《武汉理工大学学报（交通科学与工程版）》
2011年第4期731-734,738,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
湖北省自然科学基金项目资助(批准号:2009CDB080)
关键词
桥梁工程
施工监控
小波网络
斜拉桥
预测方法
bridge engineering
construction monitor
wavelet neural network
cable-stayed bridge
prediction method
