Performance study of randomly coupled erbium-doped fiber amplifier using machine learning-Reference-Cited by-同舟云学术

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Performance study of randomly coupled erbium-doped fiber amplifier using machine learning

Published:2021-07-07 Issue:07 Volume:60 Page:
ISSN:0091-3286
Container-title:Optical Engineering
language:
Short-container-title:Opt. Eng.

Author:

Konda Ramachandra Reddy¹,Velayudham Narmadha Thirunavvukkarasu²,Venkatesan Ramesh Ponukara Govindaswamy³

Affiliation:

1. St. Joseph’s College of Engineering, Department of Electronics and Communication Engineering, Chenna

2. St. Joseph’s College of Engineering, Department of Electrical and Electronics Engineering, Chennai,

3. St. Joseph’s Institute of Technology, Department of Electronics and Communication Engineering, Chenn

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A model-based reinforcement learning algorithm faced with the laser frequency sweep linearization for FMCW LiDAR;AOPC 2022: Optical Sensing, Imaging, and Display Technology;2023-01-23

2. Optimized convolutional neural network-based multigas detection using fiber optic sensor;Optical Engineering;2021-12-16

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