Ultrashort pulses classification in an Yb-doped fiber laser based on EfficientNet model
In this paper, we propose using the EfficientNet deep learning neural network to classify the ultrashort pulses in an Yb-doped mode-locked fiber laser. The results showed that the model achieved a classification accuracy of 99.8% for solitons, self-similar pulses, and amplifier similaritons, demonstrating its effectiveness in classifying ultrashort pulses.
Authors
- Hongbo Jiang (ORCID: https://orcid.org/0000-0001-7372-2539)
- Lei Jin (ORCID: https://orcid.org/0000-0002-9687-5236)
- Xinxu Duan
- W.-A. Luo
- Zhengxin Gao (ORCID: https://orcid.org/0009-0001-4389-3617)
Institutions
- Harbin Engineering University (CN)
Publication Details
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1117/12.3037250
- Primary Topic
- Advanced Fiber Laser Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00