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Position and velocity predictions of the piston in a wet clutch system during engagement by using a neural network modeling

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Chicago
Zhong, Yu, Bart Wyns, Abhishek Dutta, Clara-Mihaela Ionescu, Gregory Pinte, Wim Symens, Julian Stoev, and Robain De Keyser. 2012. “Position and Velocity Predictions of the Piston in a Wet Clutch System During Engagement by Using a Neural Network Modeling.” In 8th Artificial Intelligence Applications and Innovations Conference, Proceedings, 474–482. Springer.
APA
Zhong, Yu, Wyns, B., Dutta, A., Ionescu, C.-M., Pinte, G., Symens, W., Stoev, J., et al. (2012). Position and velocity predictions of the piston in a wet clutch system during engagement by using a neural network modeling. 8th Artificial Intelligence Applications and Innovations Conference, Proceedings (pp. 474–482). Presented at the 8th Artificial Intelligence Applications and Innovations Conference (AIAI - 2012), Springer.
Vancouver
1.
Zhong Y, Wyns B, Dutta A, Ionescu C-M, Pinte G, Symens W, et al. Position and velocity predictions of the piston in a wet clutch system during engagement by using a neural network modeling. 8th Artificial Intelligence Applications and Innovations Conference, Proceedings. Springer; 2012. p. 474–82.
MLA
Zhong, Yu, Bart Wyns, Abhishek Dutta, et al. “Position and Velocity Predictions of the Piston in a Wet Clutch System During Engagement by Using a Neural Network Modeling.” 8th Artificial Intelligence Applications and Innovations Conference, Proceedings. Springer, 2012. 474–482. Print.
@inproceedings{3004036,
  author       = {Zhong, Yu and Wyns, Bart and Dutta, Abhishek and Ionescu, Clara-Mihaela and Pinte, Gregory and Symens, Wim and Stoev, Julian and De Keyser, Robain},
  booktitle    = {8th Artificial Intelligence Applications and Innovations Conference, Proceedings},
  isbn         = {9783642334085},
  language     = {eng},
  location     = {Halkidiki, Greece},
  pages        = {474--482},
  publisher    = {Springer},
  title        = {Position and velocity predictions of the piston in a wet clutch system during engagement by using a neural network modeling},
  year         = {2012},
}