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...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2024-09-01
|
| Collection: | Digital Chemical Engineering |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2772508124000346 |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|