结合时序InSAR与IRIME-LSTM模型的大范围矿区地表沉降预测

陈兰兰, 范永超, 肖海平, 万俊辉, 陈磊

Predicting surface subsidence in large-scale mining areas based on time-series InSAR and the IRIME-LSTM model

CEHN Lanlan, FAN Yongchao, XIAO Haiping, WAN Junhui, CHEN Lei

表2 模型最优参数

Tab.2 Optimal parameters of models

模型 初始学 习率R 隐藏层 节点数S 网络 层数K 样本 长度L IRIME-LSTM 0.071 861 14 2 20 RIME-LSTM 0.085 731 89 2 21 GS-LSTM 0.005 154 40 3 22