Abstract
This paper discusses the application of the BP Neural Network in checking and controlling the emission of vehicle engines based on the principle of the neural network. The mathematical model of the BP Neural Network is established. This checking technology is a new method for testing and experiment the vehicle emission and it is very important in studying and researching the automobile emission.
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References
Gao, J., Zhu, M., Wu, L.: Artificial Neural Network of Torque and Smoke Density for Vehicle. Diesel Engine Journal Huazhong University of Science & Technology 11, 98–100 (2001)
Wei, S., Zhang, L.: Applied Researches on BP Neural Net Engaged into Automobile Trouble Diagnosis. Journal of Liaoning Institute of Technology 1, 12–14 (2001)
Yuan, Q., et al.: Application of Artificial Neural network to fault Diagnostic of gasoline engine. Journal of Zhejiang Agricultural University 4, 369–371 (1998)
Chris, M.A.: Virtual Sensing: A Neural Network-based Intelligent Performance and Emission Prediction System for On-Board Diagnostics and Engine Control. SAE 980516
Li, W., Jia, Z., Meng, H.: Reliability model of fault data of vehicles transmission system by neural network method. Machinery 1, 4–5 (2002)
Grossberg, S.A.: Nonlinear Neural Networks. Principles, and Architectures. Neural Network 1, 47–61 (1988)
Hertz, J.: Introduction to neural computation. Addison-Wesley, Reading (1991)
Ayeb, M.: SI Engine Modeling Using Neural Networks. SAE 980790
Li, X., Hou, Z.: Application of the Soft-measurement based on Neural Network in Automobile Engine Emissions. Computer and Communications 3, 46–48 (2002)
Guo, S., Wang, Y.: BP Neural Network Applied to Auto. Failure Diagnosis. Journal of Xinjiang Institute of Technology 2, 121–125 (1997)
Wang, W.: Neural Network and It Applies in Vehicle Engineering. Beijing Institute and Technology Publishing (1998)
Wei, S., Zhang, L.: Study on Auto Fault Diagnosis Expert System Based on Neural Network. Journal of Highway and Transmission Research and development 2, 78–81 (2001)
Svozil, D., Kvasnicka, V., Posichal, J.: Introduction to Multi-layer Feed-forward Neural Networks. Chemometrics and intelligent laboratory systems 39, 43–62 (1997)
de Lucas, A., et al.: Modeling Diesel Particulate Emission with Neural Networks. Fuel 80, 539–548 (2001)
Krijnsen, H.C., et al.: Potimum NOX Abatement in Diesel Exhaust Using Inferential Feed-forward Reductant Control. Fuel 80, 1001–1008 (2001)
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© 2007 Springer-Verlag Berlin Heidelberg
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Jun, L., Datong, Q. (2007). Application of the BP Neural Network in the Checking and Controlling Emission of Vehicle Engines. In: Cao, BY. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71441-5_49
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DOI: https://doi.org/10.1007/978-3-540-71441-5_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71440-8
Online ISBN: 978-3-540-71441-5
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