本文在岩石边坡稳定评价方法CSMR体系的基础上 ,应用神经网络方法建立该体系的各评分参数与边坡安全系数之间的非线性映射关系模型 ,通过一些典型工程实例的数据进行检验 .分析结果表明本文所采用的神经网络非线性映射模型是比较准确的 ,能够反映CSMR体系各参数对边坡稳定安全系数的影响程度 ,同时建立起确定的逻辑对应关系 ,可用于定量评价边坡的稳定性 . Based on the CSMR system of rock slope stability assessment method, this paper establishes a nonlinear mapping relationship model between each score parameter of the system and slope safety factor by using neural network method, and tests the data by some typical engineering examples. The results show that the neural network nonlinear mapping model adopted in this paper is relatively accurate and can reflect the impact of various parameters of the CSMR system on the slope safety factor, and establish a logical relationship between the slope, which can be used to quantitatively evaluate the stability of the slope Sex.