摘要
边坡稳定性和许多影响因素有关,是一种高度非线性的问题,本文采用人工神经网络方法进行边坡稳定性评价,构建了具有6-19-12网络结构的三层BP网络。用该模型对四川省黑水县渔巴渡至客龙沟公路沿线边坡进行稳定性评价,其结果与传统经验公式计算法所得结果基本一致。
Slope stability is related to multitudinous factors,which is a high nonlinear puzzle.The article applies the artificial neural network method to study the slope stability,and a three-layer BP network model was established with 6 input nodes,19 nodes in hided layer and 12 output nodes.Then used the model to evaluae the slopes stability along the road from Yubadu to Kelong gully in Blackwater County.The comparative results show that the results based on artificial neural network are very similar to that of conventional calculation methods.
出处
《吉林地质》
2010年第3期115-117,121,共4页
Jilin Geology
关键词
边坡稳定性
非线性
神经网络
slope stability
non-liner
neural networks.
