摘要
对人工神经网络及BP神经网络的基本知识进行了介绍,并以BP神经网络为基础建立了边坡稳定性预测的数学模型,利用MATLAB的神经网络工具箱实现了边坡稳定性的预测,通过收集到的边坡实例进行训练。结果表明,利用BP神经网络对边坡稳定性进行预测,预测结果与实际相吻合,能够满足工程需要,说明应用BP神经网络进行边坡稳定性的预测是可行的。
The paper describes the basic knowledge of artificial neural network and BP neural network,establishes the mathematical model of slope stability based on BP neural network,and slope stability can be forecasted by the neural network toolbox,and the slope cases of collection are trained.The results show that the forecasting result conforms to the realistic result using BP neural network and the requirements of engineering project can be satisfied,which indicates that the utilization of BP neural network in the slope stability prediction is feasible..
出处
《矿冶》
CAS
2011年第4期38-41,55,共5页
Mining And Metallurgy
