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2022 | OriginalPaper | Chapter

6. Application of LSTM and Prophet Algorithm in Slope Displacement Prediction

Authors : Prof. Wengang Zhang, Assoc. Prof. Yanmei Zhang, Dr. Xin Gu, Dr. Chongzhi Wu, Dr. Liang Han

Published in: Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Publisher: Springer Singapore

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Abstract

China is one of the countries with the most serious geological disasters in the world (Wang et al.,.Landslides 1:157–162, 2004; Keqiang et al.,.Environ Geol 55:55–63, 2008; Li et al., Environ Earth Sci 60:677–687, 2010; Du et al.,.Landslides 10:203–218, 2013). In some cases, landslides can cause huge losses in human lives and properties as well as impose significant impacts on the environment (Yin et al.,.Landslides 7:339–349, 2010; Zhang et al., Front Struct Civ Eng 14:1247–1261, 2020a). Specially, due to the complex geological conditions associated with high mountain areas and intensive human engineering activities, landslides occur frequently in the Three Gorges Reservoir (TGR) region, where steep slopes exist and flooding often occurs (Xu and Niu,.Comput Geosci 111:87–96, 2018; Xie et al.,.IEEE Access 7:54,305–54,311, 2019).

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Title: Application of LSTM and Prophet Algorithm in Slope Displacement Prediction
Authors: Prof. Wengang Zhang
Assoc. Prof. Yanmei Zhang
Dr. Xin Gu
Dr. Chongzhi Wu
Dr. Liang Han
Publisher: Springer Singapore
Book: Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
Print ISBN: 978-981-16-6834-0

Electronic ISBN: 978-981-16-6835-7

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-981-16-6835-7_6

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