基于小波神经网络的桥梁变形监测预报

Bridge Deformation Monitoring and Forecasting Based on Wavelet Neural Network

小波神经网络对建筑物变形预报具有较高的模型拟合及预报精度。从小波神经网络算法原理出发,阐述了使用该方法对所获得的桥梁变形监测数据进行模型建立及预报的过程,并利用Matlab实现了编程代码。通过对某桥梁变形监测预报的应用表明,该方法具有很强的可行性和实用性,可及早为桥梁变形预警,避免或减少灾害的发生。

Starting from the algorithm principle of wavelet neural network, this paper expounded the process of using this method to build model and forecast the bridge deformation monitoring data, and used the Matlab to realize programming code. Through the application of the deformation monitoring and prediction of a bridge, the results show that the method has good feasibility and practicability, can make early warning for bridge deformation as early as possible, and avoids or reduces the occurrence of disasters.