Interior Wind Noise Prediction and Visual Explanation System for Exterior Vehicle Design Using Combined Convolution Neural Networks-Reference-Cited by-同舟云学术

Interior Wind Noise Prediction and Visual Explanation System for Exterior Vehicle Design Using Combined Convolution Neural Networks

Published:2022-08 Issue:4 Volume:23 Page:1013-1021
ISSN:1229-9138
Container-title:International Journal of Automotive Technology
language:en
Short-container-title:Int.J Automot. Technol.

Author:

Park HaEun,Jung Hoichan,Lee Min Seok,Kim Doohyung,Lee Jongwon,Han Sung Won

Publisher

Springer Science and Business Media LLC

Subject

Automotive Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12239-022-0088-9.pdf

Reference26 articles.

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3. Cotoni, V., Shorter, P. and Langley, R. (2007). Numerical and experimental validation of a hybrid finite element-statistical energy analysis method. The J. Acoustic Society of America 122, 1, 259–270.

4. Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold G., Gelly, S., Uszkreit. J. and Houlsby, N. (2020). An image is worth 16×16 words: Transformers for image recognition at scale. arXiv: 2010.11929.

5. Feng, Y., Feng, Y., You, H., Zhao, X. and Gao, Y. (2019). Meshnet: Mesh neural network for 3D shape representation. AAAI Conf. Artificial Intelligence, Honolulu, Hawaii, USA.

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