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.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1117/12.3037250
Primary Topic
Advanced Fiber Laser Technologies
Type
article
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article

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

Hongbo Jiang, Lei Jin, Xinxu Duan, W.-A. Luo et al.
Advanced Fiber Laser Technologies
article

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

Hongbo Jiang, Lei Jin, Xinxu Duan, W.-A. Luo, Zhengxin Gao
article en

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.

Harbin Engineering University (CN)
Affordable and clean energy
Openalex Percentile: Top 80%
Advanced Fiber Laser Technologies
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