Prediction of compressive strength of geopolymer concrete using random forest machine and deep learning
Crossref DOI link: https://doi.org/10.1007/s42107-023-00670-w
Published Online: 2023-04-26
Published Print: 2023-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Verma, Manvendra
Text and Data Mining valid from 2023-04-26
Version of Record valid from 2023-04-26
Article History
Received: 15 April 2023
Accepted: 18 April 2023
First Online: 26 April 2023
Declarations
:
: The authors have not disclosed any competing interests.