云南师范大学学报（自然科学版）2024，Vol.44Issue(1)：35-40,6.DOI:10.7699/j.ynnu.ns-2024-008
基于GM-GWO-SVR模型的斜坡形变预测
Forecasting the Surface Deformation of Slope Based on GM-GWO-SVR Model
摘要
Abstract
This article selects the Qujiaping slope in Zigui County,Hubei Province as the study area,and extracts the information of slope deformation by SBAS-InSAR technology,using Sentinel-1 data of 56 periods.An analysis shows that the slope exhibits three obvious negative deformations,which are consistent with the concentrated rainfall periods.So non-equidistant GM(1,2)model,GM-SVR model and GM-GWO-SVR model are established,and deformation prediction is carried out.The prediction re-sults are evaluated by four indicators(MAE,RMSE,MAPE,and SSE).The results show that the GM-GWO-SVR model is better than the other two models,and is very effective.关键词
形变预测/GM-GWO-SVR/斜坡/SBAS-InSARKey words
Deformation forecaste/GM-GWO-SVR/Slope/SBAS-InSAR分类
天文与地球科学引用本文复制引用
丁德民,向莉,徐晨希,徐元进..基于GM-GWO-SVR模型的斜坡形变预测[J].云南师范大学学报（自然科学版）,2024,44(1):35-40,6.基金项目
湖北省交通运输厅科技资助项目(2022-11-4-8). （2022-11-4-8）
