以云南省祥临公路路堑边坡为背景,建立了基于BP神经网络的含软弱面岩质路堑边坡最大稳定开挖坡角的计算方法,确定了影响稳定开挖坡角的因素。根据祥临公路路堑边坡具体参数分布情况,通过正交方法设计了边坡案例,建立了计算最大稳定开挖坡角的人工神经网络模型;最后通过实例分析,证明这种计算模型作为一种计算边坡最大稳定开挖坡角简便途径的有效性和实用性。 Based on the cutting slope of Xiangyin Highway in Yunnan Province, this paper established the calculation method of maximum and stable excavation slope angle of soft rock cut slope based on BP neural network, and determined the factors that affect the stability of excavation slope angle. According to the distribution of concrete slope of Xianglin highway cutting slope, the slope case was designed by orthogonal method and an artificial neural network model was established to calculate the maximum and stable excavation slope angle. At last, an example was given to prove the calculation model as a Calculate the validity and practicability of the simplest way of slope maximum excavation slope angle.