Title Application of machine learning in slope stability assessment / Zhang Wengang, Liu Hanlong, Wang Lin, Zhu Xing, Zhang Yanmei

Published Singapore : Springer ; Beijing : Science Press, [2023] ©2023

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Description 1 online resource (xix, 201 pages) : color illustrations, maps illustration map Contents Overview -- Machine learning algorithms -- Real-time monitoring and early warning of landslide -- Production of slope stability using ensemble learning techniques -- Landslide susceptibility research combining qualitative analysis and quantitative evaluation : a case study of Yunyang County in Congqing, China -- Application of transfer learning to improve landslide susceptivility modeling performance -- Displacement prediction of Jiuxianping landslide using GRU networks -- Efficient seismic stability analysis of slopes subjected to water level changes using gradient boosting algorithms -- Efficient reliability analysis of slopes in spatially variable soils using XGBoost -- Efficient time-variant reliability analysis of Bazimen landslide in the TGRA using XGBoost and LightGBM -- Future work recommendation Summary This book focuses on the application of machine learning in slope stability assessment. The contents include: overview of machine learning approaches, the mainstream smart in-situ monitoring techniques, the applications of the main machine learning algorithms, including the supervised learning, unsupervised learning, semi- supervised learning, reinforcement learning, deep learning, ensemble learning, etc., in slope engineering and landslide prevention, introduction of the smart in-situ monitoring and slope stability assessment based on two well-documented case histories, the prediction of slope stability using ensemble learning techniques, the application of Long Short-Term Memory Neural Network and Prophet Algorithm in Slope Displacement Prediction, displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks, seismic stability analysis of slopes subjected to water level changes using gradient boosting algorithms, efficient reliability analysis of slopes in spatially variable soils using XGBoost, efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms, as well as the future work recommendation.The authors also provided their own thoughts learnt from these applications as well as work ongoing and future recommendations Bibliography Includes bibliographical references Notes Print version record Subject Slopes (Soil mechanics) -- Stability -- Mathematical models Slopes (Soil mechanics) -- Stability -- Data processing Landslide hazard analysis -- Mathematical models Landslide hazard analysis -- Data processing Machine learning -- Industrial applications Artificial intelligence -- Engineering applications. Artificial intelligence -- Engineering applications Machine learning -- Industrial applications Form Electronic book Author Liu, Hanlong, author. Lin, Wang (Civil Engineer), author Xing, Zhu (Computer Scientist), author Yanmei, Zhang, author ISBN 9789819927562 9819927560

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