Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength geopolymer concrete

Annually, the thermal coal industries produce billion tons of fly-ash (FA) as a waste by-product. Which has been proficiently used for the manufacture of FA based geopolymer concrete (FGC). To accelerate the usage of FA in building industry, an innovative machine learning techniques namely gene expr...

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Veröffentlicht in:	Ain Shams Engineering Journal Jg. 12; H. 4; S. 3603 - 3617
Hauptverfasser:	Chu, Hong-Hu, Khan, Mohsin Ali, Javed, Muhammad, Zafar, Adeel, Ijaz Khan, M., Alabduljabbar, Hisham, Qayyum, Sumaira
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2021 Elsevier
Schlagworte:	Artificial intelligence (AI) Fly-ash Gene expression programming (GEP) Geopolymer concrete (GPC) Multi expression programming (MEP) Waste material Geopolymer concrete (GPC) Gene expression programming (GEP) Fly-ash Waste material Artificial intelligence (AI) Multi expression programming (MEP)
ISSN:	2090-4479
Online-Zugang:	Volltext
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