Development of predictive models for sustainable concrete via genetic programming-based algorithms

Waste foundry sand (WFS), a by-product of the casting industry, is a potential material that may be employed as a substitute for fine aggregate in concrete. In the present study, gene expression programming (GEP) and multi-expression programming (MEP) are used to generate predictive models for the s...

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Vydané v:	Journal of materials research and technology Ročník 24; s. 6391 - 6410
Hlavní autori:	Chen, Lingling, Wang, Zhiyuan, Khan, Aftab Ahmad, Khan, Majid, Javed, Muhammad Faisal, Alaskar, Abdulaziz, Eldin, Sayed M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2023 Elsevier
Predmet:	Gene expression programming Multi-expression programming Solid waste Sustainable construction Waste foundry sand BBA ANN CNN C E M5P R STS Multi-expression programming Sustainable construction OF GA SP CA MSE Gene expression programming ML Ρ WFS RSE ETs AI GP RMSE TA MAE GEP RRMSE WFSC Solid waste MEP FA Waste foundry sand
ISSN:	2238-7854
On-line prístup:	Získať plný text
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