改进BP神经网络在岩质边坡稳定性分析中的应用

使用MATLAB软件中的NNtool工具箱建立了一个通过添加动量改进的BP神经网络模型,用以分析岩质边坡的稳定性。通过对天津某工程的边坡进行分析来检验这个模型的可靠度。根据现场调查的实际情况分析,该边坡岩体比较破碎,因此文中选择了几个有代表性的岩石完整性参数作为输入层参数,通过收集的一些类似边坡的参数对所建立的神经网络模型进行训练,以保证此模型适合被用来分析该工程。结果证明,所建立的模型是可靠的,此种方法在分析岩质边坡稳定性的的实践中具有广泛的使用性。

APPLICATION OF A IMPROVED BP NEURAL NETWORK IN ANALYSIS OF ROCK SLOPE STABILITY

In this paper,a improved BP neural network model was used for evaluating the stability of a rock slope has been built by use of the NNtool of MATLAB.Tested the reliability of the neural network model by an analysis of a project in Tianjin .Chose some parameters about rock integrity as the input factors base on the actual situation,collected some rock slope engineering cases to train the model and prove the neural network model is suitable. From tested the results which export from computer,this model is proved to be feasible and it is wider application.