从人工神经网络的基本原理出发 ,建立了边坡稳定性分析的人工神经网络模型。选择四川和云南地区的 70个边坡实例作为学习样本 ,对BP算法进行了学习和检验。计算表明 ,BP网络性能良好 ,所建立的模型预测精度高 ,具有一定的工程实用价值 Based on the basic principle of artificial neural network, an artificial neural network model of slope stability analysis is established. 70 examples of slope in Sichuan and Yunnan were selected as learning samples to study and test the BP algorithm. The calculation shows that the BP network has good performance and the prediction accuracy of the established model is high, and it has certain engineering practical value