Modeling engine fuel consumption and NOx with RBF neural network and MOPSO algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Automotive Engineering
Link
http://link.springer.com/content/pdf/10.1007/s12239-015-0106-2.pdf
Reference18 articles.
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3. Deng, Y., Yuan, Z. Z. and Wei, L. (2013). Calibration techniques for modern commercial vehicle. Proc. FISITA 2012 World Automotive Congress Lecture Notes in Electrical Engineering, 194, 167–176.
4. D’Errico, G. (2008). Prediction of the combustion process and emission formation of a bi-fuel S.I. engine. Energy Conversion and Management 49, 11, 3116–3128.
5. Eberhart, R. and Shi, Y. (1998). A modified particle swarm optimizer. IEEE Int. Conf. Evolutionary Computation, 69–73.
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