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A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR—Cases Studied in the Three Gorges Reservoir Area

Junrong Zhang, Huiming Tang, Tao Wen, Junwei Ma, Qinwen Tan, Ding Xia, Xiao Liu, Yongquan Zhang
2020 Sensors  
Therefore, a hybrid displacement prediction model based on time series theory and various intelligent algorithms was proposed in this paper to study the effect of frequency components.  ...  Firstly, the monitoring displacement of landslide from the Three Gorges Reservoir area (TGRA) was decomposed into the trend and periodic components by complete ensemble empirical mode decomposition (CEEMD  ...  Acknowledgments: The authors would like to gratefully appreciate the editor and anonymous reviewers for their constructive criticism and comments on the earlier version of this paper and offering valuable  ... 
doi:10.3390/s20154287 pmid:32752029 fatcat:ixhblrdykzaonlfv2p4sjr3ep4

A Novel Model for Landslide Displacement Prediction Based on EDR Selection and Multi-Swarm Intelligence Optimization Algorithm

Junrong Zhang, Huiming Tang, Dwayne D. Tannant, Chengyuan Lin, Ding Xia, Yankun Wang, Qianyun Wang
2021 Sensors  
This study aimed to propose a novel prediction model to improve accuracy in landslide prediction, based on the combination of multiple new algorithms.  ...  The proposed new method includes three parts: data preparation, multi-swarm intelligence (MSI) optimization, and displacement prediction.  ...  Cases Study Geological Conditions The Shiliushubao landslide is part of the famous Huanglashi landslide group, one of the large-scale landslides in the Three Gorges Reservoir Area (TGRA).  ... 
doi:10.3390/s21248352 pmid:34960445 pmcid:PMC8707878 fatcat:waoowjofcffhndjprk3dacdy7a