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Predicting soot formation in fossil fuels: A comparative study of regression and machine learning models

The incomplete combustion of fossil fuels results in the emission of soot, a carbonaceous, solid fine powder that causes harm to human health and the environment. This study compares multiple linear regression (MLR) with three different machine learning (ML) models for predicting the threshold sooti...

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Principais autores: Ridhwan Lawal, Wasif Farooq, Abdulazeez Abdulraheem, Abdul Gani Abdul Jameel
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2024-09-01
Serier:Digital Chemical Engineering
Fag:
Combustion
Soot
Machine learning
TSI
MLR
SVR
Online adgang:http://www.sciencedirect.com/science/article/pii/S2772508124000346
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