Application of Gradient Boosting Machine Learning Algorithms to Predict Uniaxial Compressive Strengt...
Application of Gradient Boosting Machine Learning Algorithms to Predict Uniaxial Compressive Strength of Soft Sedimentary Rocks at Thar Coalfield
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Publisher
New York: Hindawi
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Language
English
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New York: Hindawi
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Contents
The uniaxial compressive strength (UCS) of rock is one of the essential data in engineering planning and design. Correctly testing UCS of rock to ensure its accuracy and authenticity is a prerequisite for assuring the design of any rock engineering project. UCS of rock has a broad range of applications in mining, geotechnical, petroleum, geomechani...
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Full title
Application of Gradient Boosting Machine Learning Algorithms to Predict Uniaxial Compressive Strength of Soft Sedimentary Rocks at Thar Coalfield
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TN_cdi_doaj_primary_oai_doaj_org_article_2cf317f7a83f429ba67a66edc7f2e2c0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2cf317f7a83f429ba67a66edc7f2e2c0
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ISSN
1687-8086
E-ISSN
1687-8094
DOI
10.1155/2021/2565488
