Machine learning methods for predicting the uniaxial compressive strength of the rocks: a comparative study
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11707-024-1101-6.pdf
Reference31 articles.
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4. Asteris P G, Mamou A, Hajihassani M, Hasanipanah M, Koopialipoor M, Le T T, Kardani N, Armaghani D J (2021). Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks. Transp Geotechnics, 29: 100588
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