Journal of Optoelectronics · Laser, Volume. 33, Issue 1, 104(2022)
Prediction and analysis of dispersion compensation characteristics of a dual-ring resonant fiber based on neural network
[1] [1] WILLNER A E,Huang H,Yan H,et al.Optical communications using orbital angular momentum beams[J].Advances in Optics and Photonics,2015,7(1):66-106.
[2] [2] NEJAD R M,ALLAHVERDYAN K,VAITY P,et al.Mode division multiplexing using orbital angular momentum modes over 1.4 km ring core fiber[J].Journal of Lightwave Technology,2016,34(18):4252-4258.
[3] [3] ZHU L,WANG A,CHEN S,et al.Orbital angular momentum mode multiplexed transmission in heterogeneous few-mode and multi-mode fiber network.Optics Letters,2018,43(8):1894-1897.
[4] [4] ZHU G,HU Z,WU X,et al.Scalable mode division multiplexed transmission over a 10 km ring-core fiber using high-order orbital angular momentum modes.Optics Express,2018,26(2):594-604.
[5] [5] INGERSLEV K, GREGG P, GALILI M, et al. 12 mode,WDM,MIMO-free orbital angular momentum transmission.Optics Express,2018,26(16):20225-20232.
[7] [7] HUANG W, QIN H B, XIONG Y, et al. Mechanism and characteristics of a tunable dispersion compensating dual-ring microstructure fiber for different orbital angular momentum modes[J].Journal of the Optical Society of America A, 2021, 38(2):229-236.
[8] [8] DA SILVA FERREIRA A, MALHEIROS-SILVEIRA G N, HERNANDEZ-FIGUEROA H E.Computing optical properties of photonic crystals by using multilayer perceptron and extreme learning machine[J].Journal of Lightwave Technology,2018,36(18):4066-4073.
[9] [9] CHUGH S,GULISTAN A,GHOSH S,et al.Machine learning approach for computing optical properties of a photonic crystal fiber[J].Optics Express,2019,27(25):36414-36425.
[10] [10] ZHOU Y,CHEN R,CHEN W J,et al. Optical analog computing devices designed by deep neural network[J].Optics Communications, 2020,458:124674.
[11] [11] MA Z H,YU L.Parameter extraction and inverse design of semiconductor lasers based on the deep learning and particle swarm optimization method[J].Optics Express,2020,28(15):21971-21981.
[12] [12] LIU D J,TAN Y X,KHORAM E,et al.Training deep neural networks for the inverse design of nanophotonic structures[J].American Chemical Society Photonics,2018,5(4):1365-1369.
[13] [13] TAKASHI A,SUSUMU N.Optimization of photonic crystal nanocavities based on deep learning[J].Optics Express,2018,26(25):32704-32717.
[14] [14] CHUGH S,GHOSH S,GULISTAN A,et al.Machine learning regression approach to the nanophotonic waveguide analyses[J].Journal of Lightwave Technology,2019,37(24):6080-6089.
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XIONG Yue, QIN Haibo, HUANG Wei. Prediction and analysis of dispersion compensation characteristics of a dual-ring resonant fiber based on neural network[J]. Journal of Optoelectronics · Laser, 2022, 33(1): 104
Received: Mar. 9, 2021
Accepted: --
Published Online: Oct. 9, 2024
The Author Email: HUANG Wei (weihuang@tjut.edu.cn)