摘要
本文利用人工神经网络的非线性映射能力,在考虑影响边坡稳定性的各种因素的基础上建立了边坡稳定性评价的BP神经网络模型。经过计算结果的检验,证明该模型是可行的,对今后边坡稳定性预测具有借鉴意义。
In this paper, a Back Propa- gation neural network model using for evaluating the stability of slopes has been built by use of the nonlinear mapping function of artificial neural network, and the factors that influence the slope stability have been taken into account either. Tested by results which export from computer, this model is proved to be feasible, and offers reference to the stability prediction of slopes.
出处
《矿冶》
CAS
2006年第2期9-12,共4页
Mining And Metallurgy
关键词
人工神经网络
非线性映射
边坡稳定性
预测
artificial neural network
nonlinear mapping
the stability of slopes
prediction
