Intelligent Optimization for Laser Frequency Locking Through Deep LSTM Formed by Dual-Loop Structure

This paper proposes a laser frequency locking sys-tem assisted by neural network. Utilizing dual-loop structure to construct deep LSTM has refined the frequency locking performance, enabling it to maintain long-term stability at the kHz level.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/acp/ipoc63121.2024.10809413
Citations
1
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
0.51
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article

Intelligent Optimization for Laser Frequency Locking Through Deep LSTM Formed by Dual-Loop Structure

Shangsu Ding, Hongtao Yu, Mingwen Zhu, Bin Luo et al.
1 citations
Advanced Optical Sensing Technologies
0.51
article

Intelligent Optimization for Laser Frequency Locking Through Deep LSTM Formed by Dual-Loop Structure

Shangsu Ding, Hongtao Yu, Mingwen Zhu, Bin Luo, Jianming Shang, Song Yu
article en
1 citations

Abstract

This paper proposes a laser frequency locking sys-tem assisted by neural network. Utilizing dual-loop structure to construct deep LSTM has refined the frequency locking performance, enabling it to maintain long-term stability at the kHz level.

Beijing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 24%
Advanced Optical Sensing Technologies
0.51
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