A high-precision displacement prediction model for landslide geological hazards based on APSO-SVR-LSTM combination

A high-precision displacement prediction model for landslide geological hazards based on APSO-SVR-LSTM combination

The development of a high-precision displacement prediction model for landslide geological hazards is crucial for the early warning of such disasters. Landslide deformation typically exhibits a step-like curve pattern with implicit periodicity. Therefore, taking the Xintan landslide in the Baishui R...

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Bibliographic Details
Main Authors: Nianhong Wang, Jun Zhang, Yunfei Xiang, Saipeng Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Earth Science
Subjects:
prediction
landslide
displacement
adaptive
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2025.1597570/full
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