Design of Bismuth-Doped Fiber Amplifier Based on Neural Network and Multi-Objective Optimization Algorithm

Wenqiang Hou; Li Pei; Jianshuai Wang; Jingjing Zheng; Wenxuan Xu; Zichen Tian; Dingchen Wang; Lihong Wang; jing Li; Tigang Ning

doi:10.3788/AOS231173

Acta Optica Sinica, Volume. 44, Issue 2, 0206001(2024)

Design of Bismuth-Doped Fiber Amplifier Based on Neural Network and Multi-Objective Optimization Algorithm

Wenqiang Hou^1,2, Li Pei^1,2、*, Jianshuai Wang^1,2, Jingjing Zheng^1,2, Wenxuan Xu^1,2, Zichen Tian^1,2, Dingchen Wang^1,2, Lihong Wang^1,2, jing Li^1,2, and Tigang Ning^1,2

Author Affiliations

¹School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

²Key Laboratory of All Optical Network＆Advanced Telecommunication Network of EMC, Institute of Lightwave Technology, Beijing Jiaotong University, Beijing 100044, China

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Wenqiang Hou, Li Pei, Jianshuai Wang, Jingjing Zheng, Wenxuan Xu, Zichen Tian, Dingchen Wang, Lihong Wang, jing Li, Tigang Ning. Design of Bismuth-Doped Fiber Amplifier Based on Neural Network and Multi-Objective Optimization Algorithm[J]. Acta Optica Sinica, 2024, 44(2): 0206001

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Paper Information

Category: Fiber Optics and Optical Communications

Received: Jun. 21, 2023

Accepted: Sep. 20, 2023

Published Online: Jan. 5, 2024

The Author Email: Pei Li (lipei@bjtu.edu.cn)

DOI:10.3788/AOS231173

CSTR:32393.14.AOS231173

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