Hybrid machine learning approach for accurate prediction of the drilling rate index
Hybrid machine learning approach for accurate prediction of the drilling rate index
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
The drilling rate index (DRI) of rocks is important for optimizing drilling operations, as it informs the choice of appropriate methods and equipment, ultimately improving the efficiency of rock excavation projects. This study presents a hybrid machine learning approach to predict the DRI of rocks accurately. By integrating grey wolf optimization w...
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Full title
Hybrid machine learning approach for accurate prediction of the drilling rate index
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TN_cdi_doaj_primary_oai_doaj_org_article_cab4c6083f14485db2cde16cd0161011
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cab4c6083f14485db2cde16cd0161011
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-75639-z
