基于神经网络的InSAR/GNSS深度融合尾矿库坝体时序监测及预测研究

吕林伟, 王瑞, 许林涛, 黄诗乔, 黄帅帅, 林敏, 贺一波, 何倩, 晏慧能, 陈尚波

Time-series monitoring and prediction of tailings dams through neural network-based deep infusion of InSAR and GNSS data

LYU Linwei, WANG Rui, XU Lintao, HUANG Shiqiao, HUANG Shuaishuai, LIN Min, HE Yibo, HE Qian, YAN Huineng, CHEN Shangbo

表4 由神经网络预测的第27期监测点形变值

Tab.4 Deformation value of the 27th monitoring point predicted by the neural network （mm）

点号 #1 #2 #3 #4 #5 #6 神经网络输出第27期形变数据 3.503 5 7.264 9 4.717 8 3.492 5 2.992 9 -13.474 3