Thomas Rochefort-Beaudoin, Aurelian Vadean, Jean-François Gamache and Sofiane Achiche
Article (2023)
An external link is available for this itemDepartment: | Department of Mechanical Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/53724/ |
Journal Title: | Engineering Applications of Artificial Intelligence (vol. 123) |
Publisher: | Elsevier |
DOI: | 10.1016/j.engappai.2023.106436 |
Official URL: | https://doi.org/10.1016/j.engappai.2023.106436 |
Date Deposited: | 10 Jul 2023 16:30 |
Last Modified: | 25 Sep 2024 16:45 |
Cite in APA 7: | Rochefort-Beaudoin, T., Vadean, A., Gamache, J.-F., & Achiche, S. (2023). Supervised deep learning for the moving morphable components topology optimization framework. Engineering Applications of Artificial Intelligence, 123, 15 pages. https://doi.org/10.1016/j.engappai.2023.106436 |
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