본문
제품 정보
Transfer learning in manufacturing using artificial neural network
| Date | 2022.03.31 |
|---|---|
| Speaker | 김주헌 |
- 이전글Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting 22.04.01
- 다음글Monotonic Neural Networks (2) 22.03.31
Topic:
Transfer learning in manufacturing using artificial neural network: based on cases of injection molding and composites autoclave processing
Keywords:
Transfer learning
Sequential unfreezing
Continual transfer
Smart manufacturing
Injection molding
Autoclave molding
Reference:
H. Tercan, A. Guajardo and T. Meisen, "Industrial Transfer Learning: Boosting Machine Learning in Production," 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), pp. 274-279, 2019, doi:10.1109/INDIN41052.2019.8972099.
M. Ramezankhani, B. Crawford, A. Narayan, H. Voggenreiter, R. Seethaler and A. S. Milani, "Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing," Journal of Manufacturing Systems, vol. 59, pp. 345-354, 2021, doi:10.1016/j.jmsy.2021.02.015.
첨부파일
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Seminar_20220331_SKKU_JuhuhnKim.pdf (2.5M)
45회 다운로드 | DATE : 2022-03-31 21:24:17
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