Predictive Equations for Estimation of the Slump of Concrete Using GEP and MARS Methods
This paper developed two robust data-driven models, namely gene expression programming (GEP) and multivariate adaptive regression splines (MARS), for the estimation of the slump of concrete (SL). The main feature of the proposed data-driven methods is to provide explicit mathematical equations for e...
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| Main Authors: | Ismail Husein, Ramaswamy Sivaraman, Sarwar Hasan Mohmmad, Forqan Ali Hussein Al-Khafaji, Sokaina Issa Kadhim, Yousof Rezakhani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Pouyan Press
2024-04-01
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| Series: | Journal of Soft Computing in Civil Engineering |
| Subjects: | |
| Online Access: | https://www.jsoftcivil.com/article_175577_528c8fb9860492115321373d81d9e76d.pdf |
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