Mountain area slope displacement prediction method based on MI-GRA and improved PSO-LSTM

The invention discloses a mountain slope displacement prediction method based on MI-GRA and improved PSO-LSTM. The method comprises the following steps: (1) collecting and constructing original data of slope displacement prediction; (2) on the basis of the constructed original data for slope displacement prediction, establishing a slope displacement feature selection model of MI-GRA; (3) inputting the data after feature selection as an optimal feature set for slope displacement prediction, and establishing an improved PSO-LSTM slope displacement prediction model; and (4) performing model prediction and testing on the established slope prediction model. The method solves the problems that the previous prediction algorithm has static characteristics and cannot give consideration to historical information of slope displacement, the improvement of prediction precision is restricted, the focus of previous slope displacement prediction is only displacement, and displacement influence factors cannot be brought into