MOUNTAINOUS AREA SLOPE DISPLACEMENT PREDICTION METHOD BASED ON MI-GRA AND IMPROVED PSO-LSTM

Disclosed in the present invention is a mountainous area slope displacement prediction method based on MI-GRA and an improved PSO-LSTM. The method comprises the following steps: (1) collecting and constructing original data for slope displacement prediction; (2) on the basis of the constructed original data for slope displacement prediction, establishing an MI-GRA-based slope displacement feature selection model; (3) using data subjected to feature selection as an optimal feature set input for slope displacement prediction, and establishing an improved-PSO-LSTM-based slope displacement prediction model; and (4) performing model prediction and testing on the established slope prediction model. The present method solves the problems of: a previous prediction algorithm itself having a static characteristic and being unable to consider historical information of slope displacement, thereby restricting the improvement of the prediction precision; previous slope displacement prediction only focusing on the displacem