Modelling and prediction of air path behaviour in a heavy-duty engine using artificial neural networks

The correct management of air delivery to the combustion chamber is vital to the economic and clean operation of modern internal combustion engines. However, estimation of air mass trapped in the cylinders prior to combustion in these engines proved to be challenging and yet is fundamental to the en...

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Bibliographic Details
Main Author: Ezhan J. bin Elias
Format: Default Thesis
Published: 2018
Subjects:
MLP
Online Access:https://hdl.handle.net/2134/32989
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