New Publication in "International Journal of Engine Research"

Our new article "Support vector machine based emissions modeling using particle swarm optimization for homogeneous charge compression ignition engine" has been published in the journal "International Journal of Engine Research". We would like to thank the authors around David Gordon for their approach to an accurate prediction of engine out emissions, which enables highly efficient combustion control. Machine learning methods are used to optimize the accuracy of the models used while minimizing computational costs.

 

Title: "Support vector machine based emissions modeling using particle swarm optimization for homogeneous charge compression ignition engine"

Authors: David Gordon, Armin Norouzi, Gero Blomeyer, Julian Bedei, Masoud Aliramezani, Jakob Andert and Charles R. Koch

Full text: DOI

University of Alberta: C. R. (Bob) Koch: Engine Lab