Support Vector Machine to predict diesel engine performance and emission parameters fueled with nano-particles additive to diesel fuel
This paper studies the use of adaptive Support Vector Machine (SVM) to predict the performance parameters and exhaust emissions of a diesel engine operating on nanodiesel blended fuels. In order to predict the engine parameters, the whole experimental data were randomly divided into training and tes...
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IOP Publishing Ltd
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24749/ http://umpir.ump.edu.my/id/eprint/24749/ http://umpir.ump.edu.my/id/eprint/24749/1/Support%20Vector%20Machine%20to%20predict%20diesel%20engine%20performance%20and%20emission%20parameters%20fueled%20with%20nano-particles%20additive%20to%20diesel%20fuel.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/24749/http://umpir.ump.edu.my/id/eprint/24749/
http://umpir.ump.edu.my/id/eprint/24749/1/Support%20Vector%20Machine%20to%20predict%20diesel%20engine%20performance%20and%20emission%20parameters%20fueled%20with%20nano-particles%20additive%20to%20diesel%20fuel.pdf