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1 Ergebnisse
1
Physics-Informed Machine Learning for Optical Fiber Communi..:
, In:
2023 Opto-Electronics and Communications Conference (OECC)
,
Wang, Danshi
;
Jiang, Xiaotian
;
Song, Yuchen
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/OECC56963.2023.10209949
RT T1 <cTitle>2023 Opto-Electronics and Communications Conference (OECC)</cTitle>: T1 <Title>Physics-Informed Machine Learning for Optical Fiber Communications: Opportunities and Challenges</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10209949&Exemplar=1&LAN=DE A1 Wang, Danshi A1 Jiang, Xiaotian A1 Song, Yuchen A1 Luo, Xiao A1 Dong, Jiawei A1 Zhang, Min YR 2023 SN 2166-8892 K1 Optical fibers K1 Scientific computing K1 Neural networks K1 Machine learning K1 Optical fiber networks K1 Optical fiber communication K1 Complexity theory K1 nonlinear modeling K1 optical fiber communications K1 physics-informed machine learning K1 physics-informed neural network SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/OECC56963.2023.10209949 DO https://doi.org/10.1109/OECC56963.2023.10209949 SF ELIB - SuUB Bremen
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