Forecasting the Surface Deformation of Slope Based on GM-GWO-SVR Model
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.
国家科技期刊平台
NSTL
万方数据
维普
