Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate
Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate
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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
Predicting the penetration rate is a complex and challenging task due to the interaction between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the use of empirical and theoretical techniques in predicting TBM performance. However, reliable performance prediction of TBM is of crucial importance to mining and civil project...
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Full title
Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate
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TN_cdi_doaj_primary_oai_doaj_org_article_0154eef01ee54eeeb2e42d880da8d223
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0154eef01ee54eeeb2e42d880da8d223
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app9183715
