Displacement Prediction of Landslide Using SARIMA Model Based on Seasonal Characteristic
Author:
Affiliation:
1. School of Automation, China University of Geosciences,Wuhan,China,430074
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hubei Province, China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240761.pdf?arnumber=10240761
Reference19 articles.
1. An Algorithm for Traffic Flow Prediction Based on Improved SARIMA and GA
2. Predicting Seasonal Influenza Based on SARIMA Model, in Mainland China from 2005 to 2018
3. Spatiotemporal deformation characteristics and triggering factors of Baijiabao landslide in Three Gorges Reservoir region, China
4. Displacement prediction of Baijiabao landslide based on empirical mode decomposition and long short-term memory neural network in Three Gorges area, China
5. A new method for displacement prediction of “step-like” landslides based on VMD-FOA-SVR model
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