Performance Comparison of Artificial Neural Network and Random Forest Models for Predicting the Compressive Strength of Fibre-Reinforced GGBS-Based Geopolymer Concrete Composites
Crossref DOI link: https://doi.org/10.1007/s42824-024-00128-7
Published Online: 2024-06-28
Published Print: 2024-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Philip, Shimol
Nidhi, M http://orcid.org/0000-0002-0808-7361
Text and Data Mining valid from 2024-06-28
Version of Record valid from 2024-06-28
Article History
Received: 27 February 2024
Revised: 9 May 2024
Accepted: 15 June 2024
First Online: 28 June 2024
Declarations
:
: The authors declare no competing interests.