Landslide Deformation Prediction Based on a GNSS Time Series Analysis and Recurrent Neural Network Model

Landslide Deformation Prediction Based on a GNSS Time Series Analysis and Recurrent Neural Network Model

The prediction of landslide displacement is a challenging and essential task. It is thus very important to choose a suitable displacement prediction model. This paper develops a novel Attention Mechanism with Long Short Time Memory Neural Network (AMLSTM NN) model based on Complete Ensemble Empirica...

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Bibliographic Details
Main Authors: Jing Wang, Guigen Nie, Shengjun Gao, Shuguang Wu, Haiyang Li, Xiaobing Ren
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
GNSS time series analysis
landslide displacement prediction
attention mechanism
deep learning
Online Access:https://www.mdpi.com/2072-4292/13/6/1055

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