Reflow Thermal Recipe Segment Optimization Model Based on Artificial Neural Network Approach
In: Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus : Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2; (2023) S. 45-53
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E-Book
Zugriff:
Titel: |
Reflow Thermal Recipe Segment Optimization Model Based on Artificial Neural Network Approach
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Autor/in / Beteiligte Person: | Zhang, Zhenxuan ; Li, Yuanyuan ; Yoon, Sang Won ; Won, Daehan ; Chaari, Fakher, Series Editor ; Gherardini, Francesco, Series Editor ; Ivanov, Vitalii, Series Editor ; Cavas-Martínez, Francisco [Ed.]ial Board Member ; di Mare, Francesca [Ed.]ial Board Member ; Haddar, Mohamed [Ed.]ial Board Member ; Kwon, Young W. [Ed.]ial Board Member ; Trojanowska, Justyna [Ed.]ial Board Member ; Xu, Jinyang [Ed.]ial Board Member ; Kim, Kyoung-Yun [Ed.] ; Monplaisir, Leslie [Ed.] ; Rickli, Jeremy [Ed.] |
Quelle: | Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus : Proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA, Volume 2; (2023) S. 45-53 |
Veröffentlichung: | 2023 |
Medientyp: | E-Book |
ISBN: | 978-3-031-17628-9 (print) ; 978-3-031-17629-6 (print) |
DOI: | 10.1007/978-3-031-17629-6_6 |
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