The spatial-temporal probability assessment for slope instability based on uncertainty of machine learning-based prediction

This paper aims to address the issue of uncertainty and limited analysis depth in machine learning (ML)-based slope cumulative displacement (SCD) prediction, leading to inaccuracies in slope safety assessment. Firstly, the Bootstrap algorithm is used to quantify the cognitive uncertainties and rando...

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Bibliographic Details
Main Authors: Tai-feng Li, Xian-pu Xiao, Rong-hui Yan, Kang Xie, You-ming Zhao, Qian-li Zhang, Mao-qin Che
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024017882
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