Generalization Properties of Machine Learning-based Raman Models-Reference-Cited by-同舟云学术

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Generalization Properties of Machine Learning-based Raman Models

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Optical Fiber Communication Conference (OFC) 2021
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Author:

de Moura U. C.,Zibar D.,Rosa Brusin A. M.,Carena A.,Da Ros F.

Publisher

OSA

Reference7 articles.

1. Toward efficient, reliable, and autonomous optical networks: the ORCHESTRA solution [Invited]

2. Hybrid Machine Learning EDFA Model

3. Introducing Load Aware Neural Networks for Accurate Predictions of Raman Amplifiers

4. Modeling EDFA Gain Ripple and Filter Penalties With Machine Learning for Accurate QoT Estimation

5. Linear and Nonlinear Noise Characterisation of Dual Stage Broadband Discrete Raman Amplifiers

Cited by 4 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. Transfer Learning Based Programmable Raman Amplifier for Flexible Multi-Band Optical Network;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04

2. Fiber-Agnostic Machine Learning-Based Raman Amplifier Models;Journal of Lightwave Technology;2023-01-01

3. Online versus Offline Optimization Methods for Raman Amplifier Optimization;2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC);2022-07-03

4. Machine learning applied to inverse systems design;2022 International Conference on Optical Network Design and Modeling (ONDM);2022-05-16

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