Machine learning regression algorithms to predict emissions from steam boilers

Currently, the modeling of complex chemical-physical processes is drastically influencing industrial development. Therefore, the analysis and study of the combustion process of the boilers using machine learning (ML) techniques are vital to increase the efficiency with which this equipment operates...

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Vydané v:	Heliyon Ročník 10; číslo 5; s. e26892
Hlavní autori:	Ross-Veitía, Bárbara D., Palma-Ramírez, Dayana, Arias-Gilart, Ramón, Conde-García, Rebeca E., Espinel-Hernández, Alejandro, Nuñez-Alvarez, José R., Hernández-Herrera, Hernan, Llosas-Albuerne, Yolanda E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Elsevier Ltd 15.03.2024 Elsevier
Predmet:	algorithms ambient temperature Artificial intelligence carbon dioxide Combustion fuels industrialization Linear regression pollution load prediction Python regression analysis steam Combustion Linear regression Artificial intelligence Python
ISSN:	2405-8440, 2405-8440
On-line prístup:	Získať plný text
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