Industrial Transfer Learning the Key to Transfer Artificial Intelligence

被引：0
作者：
Netzer M. [1 ]
Alexander P. [1 ]
Gönnheimer P. [1 ]
Fleischer J. [1 ]
机构：
[1] Institut für Produktionstechnik Karlsruher Institut für Technologie (KIT), Kaiserstraße 12, Karlsruhe
来源：
ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb | 2022年 / 117卷 / 09期
关键词：
Artificial Intelligence; Generalization; OEE; Production Optimization; Transfer Learning;
D O I：
10.1515/zwf-2022-1109
中图分类号：
学科分类号：
摘要：
The main challenge in transferring machine learning methods is the high effort required to re-Train the models on target machines. Machine-individual hyperparameters as well as labeled data can be transferred and efficiently adapted to selected target machines by using transfer learning. In the following, challenges of transfer learning are presented and a procedure model is introduced to facilitate the transfer. © 2022 Walter de Gruyter GmbH, Berlin/Boston.
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收藏
页码：597 / 599
页数：2
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