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Application Of Machine Learning In Slope Stability Assessment 1 Zhang Wengang

Name: Application Of Machine Learning In Slope Stability Assessment 1 Zhang Wengang
SKU: BELL-50769394
Price: 31.00 USD
Availability: InStock
Rating: 4.7 (106 reviews)

SKU: BELL-50769394

$ 31.00 ~~$ 45.00~~ (-31%)

4.7

106 reviews

Application Of Machine Learning In Slope Stability Assessment 1 Zhang Wengang instant download after payment.

Publisher: Springer-Science Press

File Extension: PDF

File size: 7.64 MB

Pages: 213

Author: Zhang Wengang, Liu Hanlong, Wang Lin, Zhu Xing, Zhang Yanmei

ISBN: 9789819927555, 9819927552

Language: English

Year: 2023

Edition: 1.

Product desciption

Application Of Machine Learning In Slope Stability Assessment 1 Zhang Wengang by Zhang Wengang, Liu Hanlong, Wang Lin, Zhu Xing, Zhang Yanmei 9789819927555, 9819927552 instant download after payment.

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.