Landslide Displacement Prediction Combining LSTM and SVR Algorithms: A Case Study of Shengjibao Landslide from the Three Gorges Reservoir Area

Landslide Displacement Prediction Combining LSTM and SVR Algorithms: A Case Study of Shengjibao Landslide from the Three Gorges Reservoir Area

Displacement predictions are essential to landslide early warning systems establishment. Most existing prediction methods are focused on finding an individual model that provides a better result. However, the limitation of generalization that is inherent in all models makes it difficult for an indiv...

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Bibliographic Details
Main Authors: Hongwei Jiang, Yuanyao Li, Chao Zhou, Haoyuan Hong, Thomas Glade, Kunlong Yin
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
Shengjibao Landslide
displacement prediction
Three Gorges Reservoir area
long short-term memory neural networks
support vector regression
ensemble model
Online Access:https://www.mdpi.com/2076-3417/10/21/7830

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