Comparing the efficacy of GEP and MEP algorithms in predicting concrete strength incorporating waste eggshell and waste glass powder

The present study used the techniques of gene expression programming (GEP) and multi-expression programming (MEP) to assess the compressive strength (CS) and flexural strength (FS) and develop predictive models of sustainable mortar modified with waste eggshell powder (WEP) and waste glass powder (W...

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Bibliografische gegevens

Hoofdauteurs:	Dong Wang, Muhammad Nasir Amin, Kaffayatullah Khan, Sohaib Nazar, Yaser Gamil, Taoufik Najeh
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Elsevier 2024-03-01
Reeks:	Developments in the Built Environment
Onderwerpen:	Eggshell powder Glass powder Cement mortar Machine learning Prediction models
Online toegang:	http://www.sciencedirect.com/science/article/pii/S2666165924000425
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