Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer Concrete

Application of Gene Expression Programming (GEP) for the Prediction of Compressive Strength of Geopolymer Concrete

For the production of geopolymer concrete (GPC), fly-ash (FA) like waste material has been effectively utilized by various researchers. In this paper, the soft computing techniques known as gene expression programming (GEP) are executed to deliver an empirical equation to estimate the compressive st...

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Bibliographic Details
Main Authors: Mohsin Ali Khan, Adeel Zafar, Arslan Akbar, Muhammad Faisal Javed, Amir Mosavi
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Materials
Subjects:
artificial intelligence
gene expression programming
fly ash
waste materials
geopolymer
regression analysis
Online Access:https://www.mdpi.com/1996-1944/14/5/1106

Internet

https://www.mdpi.com/1996-1944/14/5/1106

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