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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Vydáno v:	Ain Shams Engineering Journal Ročník 12; číslo 4; s. 3603 - 3617
Hlavní autoři:	Chu, Hong-Hu, Khan, Mohsin Ali, Javed, Muhammad, Zafar, Adeel, Ijaz Khan, M., Alabduljabbar, Hisham, Qayyum, Sumaira
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2021 Elsevier
Témata:	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
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