Predictive Equations for Estimation of the Slump of Concrete Using GEP and MARS Methods

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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Bibliographic Details
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
Series:Journal of Soft Computing in Civil Engineering
Subjects:
gep
mars
slump concrete
data-driven methods
Online Access:https://www.jsoftcivil.com/article_175577_528c8fb9860492115321373d81d9e76d.pdf

Internet

https://www.jsoftcivil.com/article_175577_528c8fb9860492115321373d81d9e76d.pdf

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