Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation
Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
The major criteria that control pile foundation design is pile bearing capacity (Pu). The load bearing capacity of piles is affected by the various characteristics of soils and the involvement of multiple parameters related to both soil and foundation. In this study, a new model for predicting bearing capacity is developed using an extreme gradient...
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Full title
Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation
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TN_cdi_doaj_primary_oai_doaj_org_article_87c7ab7b3c3e4ca1902d648834d83b92
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_87c7ab7b3c3e4ca1902d648834d83b92
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app12042126
