Support Vector Machine to predict diesel engine performance and emission parameters fueled with nano-particles additive to diesel fuel

• Main Authors: Ghanbari, M., Najafi, G., Ghobadian, B., R., Mamat, M. M., Noor, A., Moosavian
• Format: Conference or Workshop Item
• Language: English
• Published: IOP Publishing Ltd 2015
• Subjects: TJ Mechanical engineering and machinery
• Online Access: 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; http://umpir.ump.edu.my/id/eprint/24749/; https://iopscience.iop.org/article/10.1088/1757-899X/100/1/012069/meta

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...