摘要
采用BP软件建立了人工神经网络的边坡稳定性预测模型,并以杨东坪小学后侧边坡为例进行田边稳定性预测。结果表明,所预测边坡稳定性与实际情况基本相符,能够满足工程需求,因此利用BP神经网络对边坡稳定性进行预测是可行的。
The artificial neural network slope stability prediction model has been modeled through back propagation (BP) algorithm. Taking a slope in rear side of the Yangdongping primary school as example carried out stability prediction. The result has shown that the predicted slope stability is basically tally with actual situation, can meet engineering requirements. Thus the use of BP neural network to carry out slope stability prediction is feasible.
作者
管宏飞
江平
郭飞
李红涛
Guan Hongfei;Jiang Ping;Guo Fei;Li Hongtao(Hubei Geological Survey Foundation Engineering Co.Ltd.,Yichang, Hubei 443002;College of Civil Engineering and Architecture, China ThreeGorges University, Yichang, Hubei 443002)
出处
《中国煤炭地质》
2019年第A01期55-57,共3页
Coal Geology of China
关键词
BP神经网络
边坡稳定性
秭归杨东坪
BP neural network
slope stability
Yangdongping, ZiguiCounty
