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...

Celý popis

Podrobná bibliografia

Vydané v:	Ain Shams Engineering Journal Ročník 12; číslo 4; s. 3603 - 3617
Hlavní autori:	Chu, Hong-Hu, Khan, Mohsin Ali, Javed, Muhammad, Zafar, Adeel, Ijaz Khan, M., Alabduljabbar, Hisham, Qayyum, Sumaira
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2021 Elsevier
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!