用人工神经网络估算岩质边坡的安全系数
ESTIMATING SAFETY FACTORS OF ROCK SLOPE BY USING ARTIFICIAL NEURAL NETWORK
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摘要: 基于工程事例, 介绍了一组初步试验工作, 探讨人工神经网络(ANN)方法用于岩质边坡稳定性安全系数估算的可能性。文中给出三次试验及试验结果, 试验结果表明用人工神经网络估算岩质边坡安全系数不仅是可行的, 而且是一种实时、准确且准备工作简单的估算方法。Abstract: ased on rock slope engineering cases, three experiments on the possibility of use an artificial neural network (ANN) in estimating the safety factors for rock slope are present and discussed in this paper. The experiment results show that estimating the safety factors for rock slope by using a neural network is feasible, real time and accurate. It is very simple for preparatory work.
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