摘要
采用BP神经网络模型建立了大石板滑坡在降雨条件下 ,地下水位与降雨过程之间的非线性关系 ,并预测了诱发滑坡的 1983年 6 7月典型降雨过程引起的地下水位
Based on artificial neural net(ANN),a nonlinear relation between groundwater elevation and rainfall process in the landslide area,is established to predict the groundwater elevation of the Dashiban landslide area under the condition of typical rainfall process,which induced landslide. It offers fundamental hydrogeological data for analyzing saturated/unsaturated seepage of the Dashiban landslide area.
出处
《三峡大学学报（自然科学版）》
CAS
2001年第2期104-108,共5页
Journal of China Three Gorges University：Natural Sciences
