Prediction of the compressive strength of Flyash and GGBS incorporated geopolymer concrete using artificial neural network
Crossref DOI link: https://doi.org/10.1007/s42107-023-00678-2
Published Online: 2023-05-01
Published Print: 2023-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Sharma, Ujjwal
Gupta, Nakul
Verma, Manvendra
Text and Data Mining valid from 2023-05-01
Version of Record valid from 2023-05-01
Article History
Received: 12 April 2023
Accepted: 24 April 2023
First Online: 1 May 2023
Declarations
:
: The authors declare no competing interests.