基于FEEMD-GRU-FC模型的滑坡位移预测OA北大核心CSTPCD

Landslides in reservoir areas are affected by rainfall and periodic changes in reservoir water level,which will interfere with the prediction performance of landslide displacement prediction models.A FEEMD-GRU-FC(fast ensemble empirical mode decomposition-gated recurrent unit-fully connected layer)landslide displacement prediction model based on the periodic environmental changes was proposed.The model fully considered the influence of noise among different frequencies of displace-ment data,divided the displacement into sub-sequences of different frequencies to predict them respectively,and used the PCC(Pearson correlation coefficient)method to select external environmental factors with large influence.The ability of the GRU mod-el to extract periodic change features from environmental data was improved by adding a full connection layer.The model was ap-plied by combining with the actual data of the Bazimen Landslide in the Three Gorges Reservoir area.Different prediction models and evaluation indicators were used for multi-perspective comparison and verification.The experimental results showed that the model proposed was better than the other three models in predicting Bazimen Landslide displacement.Its fitting degree was 98.6%,and three kinds of error indexes were the lowest,which proved that the model can accurately predict the landslide dis-placement in the reservoir area.The research results can guide disaster prevention and reduction.