边坡工程是不确定的、非线性的、动态开放性的复杂大系统,论文提出基于模拟退火交替迭代算法神经网络的边坡安全系数预测方法。利用该方法对收集到的工程边坡实例进行分析,取得了较好的效果,其预测精度明显优于经典算法BP神经网络,故该方法的研究为选择经济合理的边坡设计提供了新的思路。 Slope engineering is an uncertain, non-linear, dynamic and open complex system. In this paper, a prediction method of slope safety factor based on artificial neural network with alternating iterative algorithm of simulated annealing is proposed. The method is applied to analyze the collected engineering slope examples and obtain good results. The prediction accuracy is obviously better than the classical algorithm BP neural network, so the study of the method provides a new choice of economical and reasonable slope design Ideas.