Modelling and Prediction of Particulate Matter, NOx, and Performance of a Diesel Vehicle Engine under Rare Data Using Relevance Vector Machine
Traditionally, the performance maps and emissions of a diesel engine are obtained empirically through many testes on the dynamometers because no exact mathematical engine model exists. In the current literature, many artificial-neural-network- (ANN-) based approaches have been developed for diesel e...
Main Authors: | Ka In Wong, Pak Kin Wong, Chun Shun Cheung |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2012-01-01
|
Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2012/782095 |
Similar Items
-
Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine
by: Hang-cheong Wong, et al.
Published: (2012-01-01) -
Simultaneous-Fault Diagnosis of Automotive Engine Ignition Systems Using Prior Domain Knowledge and Relevance Vector Machine
by: Chi-Man Vong, et al.
Published: (2013-01-01) -
Machine Learning Applied to the NOx Prediction of Diesel Vehicle under Real Driving Cycle
by: Jonghak Lee, et al.
Published: (2021-04-01) -
Particulate matters from diesel engine exhaust emission
by: Petrović Velimir S.
Published: (2008-01-01) -
Prediction of NOx Emissionsfrom Diesel Engines
by: Lidstone, Liam
Published: (2008)