Applying Knowledge-Guided Machine Learning to Slope Stability Prediction

IF 3.9 2区工程技术 Q1 ENGINEERING, GEOLOGICAL

Journal of Geotechnical and Geoenvironmental Engineering Pub Date : 2023-10-01 DOI:10.1061/jggefk.gteng-11053

Te Pei, T. Qiu, Chaopeng Shen

引用次数: 1

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知识引导机器学习在边坡稳定性预测中的应用

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Geotechnical and Geoenvironmental Engineering 工程技术-地球科学综合

CiteScore

7.50

自引率

7.70%

发文量

222

审稿时长

12 months

期刊介绍： The Journal of Geotechnical and Geoenvironmental Engineering covers the broad area of practice known as geotechnical engineering. Papers are welcomed on topics such as foundations, retaining structures, soil dynamics, engineering behavior of soil and rock, site characterization, slope stability, dams, rock engineering, earthquake engineering, environmental geotechnics, geosynthetics, computer modeling, groundwater monitoring and restoration, and coastal and geotechnical ocean engineering. Authors are also encouraged to submit papers on new and emerging topics within the general discipline of geotechnical engineering. Theoretical papers are welcomed, but there should be a clear and significant potential for practical application of the theory. Practice-oriented papers and case studies are particularly welcomed and encouraged.