Ultrashort pulses classification in an Yb-doped fiber laser based on EfficientNet model

Wenbin Luo; Xinxu Duan; Zhengxin Gao; Hongbo Jiang; Lei Jin

doi:10.1117/12.3037250

4 December 2024 Ultrashort pulses classification in an Yb-doped fiber laser based on EfficientNet model

Wenbin Luo, Xinxu Duan, Zhengxin Gao, Hongbo Jiang, Lei Jin

Author Affiliations +

Proceedings Volume 13283, Conference on Spectral Technology and Applications (CSTA 2024); 132834K (2024) https://doi.org/10.1117/12.3037250
Event: Conference on Spectral Technology and Applications (CSTA 2024), 2024, Dalian, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenbin Luo, Xinxu Duan, Zhengxin Gao, Hongbo Jiang, and Lei Jin "Ultrashort pulses classification in an Yb-doped fiber laser based on EfficientNet model", Proc. SPIE 13283, Conference on Spectral Technology and Applications (CSTA 2024), 132834K (4 December 2024); https://doi.org/10.1117/12.3037250

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