基于BP网络的隧道围岩位移预测方法

DISPLACEMENT PREDICTION METHOD OF SURROUNDING ROCK IN TUNNEL BASED ON BP NEURAL NETWORK

介绍人工神经网络模型法的基本原理与步骤,探讨了隧道围岩收敛监测数据与人工神经网络间的联系,并建立了基于人工神经网络的隧道围岩收敛预报模型。以工程实例为背景,对隧道围岩的收敛变形进行预报分析。研究结果表明:BP网络预测值与实测值吻合程度很好,完全满足工程及控制的要求。

The basic principle and steps of the artificial neural network model method are introduced;and the internal relationship between monitor data and the artificial neural network is discussed.Accordingly,a convergence displacement prediction model is set up based on BP neural network.Taking a practical engineering as an example,the displacement of tunnel surrounding rock in construction process is predicted by means of the BP neural network.The results show that the prediction values by BP neural network agree well with the measured ones,which appropriately satisfies the requests of the engineering and engineering control.