Comparison of various machine learning algorithms used for compressive strength prediction of steel fiber-reinforced concrete
Crossref DOI link: https://doi.org/10.1038/s41598-023-30606-y
Published Online: 2023-03-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pakzad, Seyed Soroush
Roshan, Naeim
Ghalehnovi, Mansour
Text and Data Mining valid from 2023-03-04
Version of Record valid from 2023-03-04
Article History
Received: 10 October 2022
Accepted: 27 February 2023
First Online: 4 March 2023
Competing interests
: The authors declare no competing interests.