Optical Technique, Volume. 47, Issue 6, 716(2021)

High-order dispersion prediction of fiber communication based on deep neural networks

YANG Kai*
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  • [in Chinese]
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    References(4)

    [3] [3] Oliari V, Agrell E, Alvarado A. Regular perturbation on the group-velocity dispersion parameter for nonlinear fibre-optical communications[J]. Nature Communications,2020,11(1):1-11.

    [11] [11] Gouravaraju S, Narayan J, Sauer R A, et al. A Bayesian regularization-backpropagation neural network model for peeling computations[J]. Tribology Letters,2020,31(11):132-140.

    [13] [13] Elaziz M A, Ewees A A, Yousri D, et al. An improved marine predators algorithm with fuzzy entropy for multi-level thresholding: Real world example of COVID-19 CT image segmentation[J]. IEEE Access,2020,1(99):1-1.

    [14] [14] M Gedalin T, et al. Optical solitary waves in the higher order nonlinear schrdinger equation[J]. Physical Review Letters,1997,78(3):448-451.

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    YANG Kai. High-order dispersion prediction of fiber communication based on deep neural networks[J]. Optical Technique, 2021, 47(6): 716

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    Paper Information

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    Received: Apr. 11, 2021

    Accepted: --

    Published Online: Feb. 28, 2022

    The Author Email: Kai YANG (yangk@dgpt.edu.cn)

    DOI:

    CSTR:32186.14.

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