Optical Performance monitoring using Q-learning optimized least square support vector machine in optical network-Reference-Cited by-同舟云学术

Optical Performance monitoring using Q-learning optimized least square support vector machine in optical network

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP)
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Author:

Sun Qiang¹,Yang Zhuojia¹,Chen Xiaodong¹,Yu Chengqing²

Affiliation:

1. Beijing Jiaotong University,School of Electronic Information Engineering,Beijing,China

2. Central South University,School of Traffic and Transportation Engineering,Changsha,China

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9688561/9688329/09688807.pdf?arnumber=9688807

Reference13 articles.

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4. Least Squares Support Vector Machine Classifers: a Large Scale Algorithm;suykens;European Conference on Circuit Theory and Design,1999

5. Comparison of Split-Step Fourier Schemes for Simulating Fiber Optic Communication Systems

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