Ensemble machine learning techniques for particulate emissions estimation from a highly boosted GDI engine fuelled by different gasoline blends

Ensemble machine learning techniques for particulate emissions estimation from a highly boosted GDI engine fuelled by different gasoline blends

Light-duty vehicle emissions regulations worldwide impose stringent limits on particulate matter (PM) emissions, necessitating accurate modelling and prediction of particulate emissions across a range of sizes (as low as 10 nm). It has been shown that the decision tree-based ensemble machine learnin...

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Bibliografische gegevens
Hoofdauteurs: Stangierska, M, Bajwa, A, Lewis, A, Akehurst, S, Turner, J, Leach, FCP
Formaat: Conference item
Taal:English
Gepubliceerd in: SAE International 2024

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