Surrogate Model Development for Slope Stability Analysis Using Machine Learning
Surrogate Model Development for Slope Stability Analysis Using Machine Learning
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
In many countries, slope failure is a complex natural issue that can result in serious natural hazards, such as landslide dams. It is associated with the challenge of slope stability evaluation, which involves the classification problem of slopes and the regression problem of predicting the factor of safety (FOS) value. This study explored the impl...
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Full title
Surrogate Model Development for Slope Stability Analysis Using Machine Learning
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TN_cdi_proquest_journals_2843130874
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2843130874
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ISSN
2071-1050
E-ISSN
2071-1050
DOI
10.3390/su151410793
