Application of Artificial Neural Networks in the Prediction of Tire Manufacturing Defects
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44282-7_15
Reference23 articles.
1. Jeong, K.M., Kim, K.W., Beom, H.G., Park, J.U.: Finite element analysis of nonuniformity of tires with imperfections. Tire Sci. Technol. TSTCA 35(3), 226–238 (2007)
2. Oertel, C., Wei, Y.: Tyre rolling kinematics and prediction of tyre forces and moments: Part I – theory and method. Veh. Syst. Dyn. 50(11), 1673–1687 (2012)
3. Wei, Y., Oertel, C., Shen, X.: Tyre rolling kinematics and prediction of tyre forces and moments: Part II – simulation and experiment. Veh. Syst. Dyn. 50(11), 1689–1706 (2012)
4. Hadi, H.A., et al.: The implementation of quality function deployment (QFD) in tire industry. ComTech Comput. Math. Eng. Appl. 8(4), 223–228 (2017)
5. Li, C.: Research on tire dynamic balancing machine based on least square method. In: 2021 IEEE 6th International Conference on Intelligent Computing and Signal Processing (ICSP 2021) (2021)
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