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Local combustion regime identification using machine learning

Authors :
Riccardo Malpica Galassi
Pietro Paolo Ciottoli
Mauro Valorani
Hong G. Im
Source :
Combustion Theory and Modelling. 26:135-151
Publication Year :
2021
Publisher :
Informa UK Limited, 2021.

Abstract

A new combustion regime identification methodology using the neural networks as supervised classifiers is proposed and validated. As a first proof of concept, a binary classifier is trained with la...

Details

ISSN :
17413559 and 13647830
Volume :
26
Database :
OpenAIRE
Journal :
Combustion Theory and Modelling
Accession number :
edsair.doi.dedup.....ece9ac21208c940dbf5eeb528188cae8
Full Text :
https://doi.org/10.1080/13647830.2021.1991595