A comprehensive comparison of different regression techniques and nature-inspired optimization algorithms to predict carbonation depth of recycled aggregate concrete
Crossref DOI link: https://doi.org/10.1007/s11709-024-1041-y
Published Online: 2024-05-09
Published Print: 2024-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Xi, Bin
Zhang, Ning
Li, Enming
Li, Jiabin
Zhou, Jian
Segarra, Pablo
Text and Data Mining valid from 2024-01-01
Version of Record valid from 2024-01-01
Article History
Received: 2 May 2023
Accepted: 24 June 2023
First Online: 9 May 2024
Ethics
: <b>Conflict of Interest</b> The authors declare that they have no competing interests.