Comparison of machine learning algorithms for predicting diesel/biodiesel/iso-pentanol blend engine performance and emissions

In this study, machine learning techniques, namely artificial neural network (ANN), support vector machine (SVM), and extreme gradient boosting (XGBoost), were used to comprehensively evaluate engine performance and exhaust emissions for different fuel blends. To obtain valuable insights on optimizi...

Descripción completa

Detalles Bibliográficos
Autor principal: Şahin, Seda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637970/
https://www.ncbi.nlm.nih.gov/pubmed/37954295
http://dx.doi.org/10.1016/j.heliyon.2023.e21365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637970/
https://www.ncbi.nlm.nih.gov/pubmed/37954295
http://dx.doi.org/10.1016/j.heliyon.2023.e21365

Ejemplares similares