Acta Optica Sinica, Volume. 41, Issue 20, 2006002(2021)
Design of Raman Fiber Amplifier Based on Neural Network and Artificial Bee Colony Algorithm
[2] Chi R H, Zhou Y P, Li L Y. Research status and development analysis of multicore fiber amplifier[J]. Laser & Optoelectronics Progress, 56, 190005(2019).
[3] Borraccini G, Straullu S, Ferrari A et al. Flexible and autonomous multi-band Raman amplifiers[C]//2020 IEEE Photonics Conference (IPC), September 28-October 1, 2020, Vancouver, BC, Canada., 1-2(2020).
[4] Curri V, Carena A. Merit of Raman pumping in uniform and uncompensated links supporting NyWDM transmission[J]. Journal of Lightwave Technology, 34, 554-565(2016).
[5] Khalaf A A M, Mustafa F M. Raman amplifier performance under new wavelength ranges[J]. Journal of Optical Communications, 37, 9-21(2016).
[6] Chi R H, Yuan Y, Wang F et al. Application of Bi-directionally pumped Raman amplifier in 100 Gbit·s -1 ultra-long distance transmission system[J]. Laser & Optoelectronics Progress, 56, 060601(2019).
[7] Chen J, Qiu X J, Yin C Y et al. Efficient design of gain-flattened multi-pump Raman fiber amplifiers using least squares support vector regression[J]. Journal of Optics, 20, 025702(2018).
[8] Feng J Q, Sun S Y[J]. The principle and application of the fourth-order Runge-Kutta method Mathematics Learning and Research, 2017, 3-5.
[9] An L[J]. Shooting method in the application of ordinary difference equations boundary value problem Science Mosaic, 2011, 247-249.
[11] Chen J, Jiang H. Optimal design of gain-flattened Raman fiber amplifiers using a hybrid approach combining randomized neural networks and differential evolution algorithm[J]. IEEE Photonics Journal, 10, 1-15(2018).
[13] Zibar D. Brusin A M R, de Moura U C, et al. Inverse system design using machine learning: the Raman amplifier case[J]. Journal of Lightwave Technology, 38, 736-753(2020).
[14] Morais R M. On the suitability, requisites, and challenges of machine learning[J]. Journal of Optical Communications and Networking, 13, A1-A12(2021).
[15] Chai Z J, Ouyang Z H, Yue J. An improved prediction model of grey BP neural network[J]. Ordnance Industry Automation, 39, 84-88, 96(2020).
[16] Shpolyanskiy Y A, Kozlov S A, Bespalov V G. Stimulated Raman scattering and four wave mixing with self-phase and cross-phase modulation of intense fs laser pulses[C]//Technical Digest. Summaries of Papers Presented at the Quantum Electronics and Laser Science Conference, May 23-28, 1992, Baltimore, MD, USA., 128(1992).
[17] Wen S, Chi S E. Distributed erbium-doped fiber amplifiers with stimulated Raman scattering[J]. IEEE Photonics Technology Letters, 4, 189-192(1992).
[18] Gong J M. The effect of SRS on signal power in single mode silica fiber in DWDM optical communication system with equally spaced channels[J]. Chinese Journal of Lasers B, B8, 51-54(1999).
[19] Gong J M, Fang Q, Liu J et al[J]. Analytical model of non-dispersion-limited transient stimulated Raman scattering in single-mode silica fiber in WDM optical communication system Chinese Journal of Lasers, 2000, 175-181.
[20] Yu B L, Duan X, Wu Y. Establishment and application of data prediction model based on BP neural network[J]. Computer & Digital Engineering, 44, 482-486, 545(2016).
[21] Wu W, Feng G R, Li Z X et al. Deterministic convergence of an online gradient method for BP neural networks[J]. IEEE Transactions on Neural Networks, 16, 533-540(2005).
[22] Liu K, Wang C F, Liu S Y. Artificial bee colony algorithm combined with previous successful search experience[J]. IEEE Access, 7, 34318-34332(2019).
[23] Chen J, Zhou Q X, Lin Y T et al. Optimization design of multi-pump Raman fiber amplifiers based on artificial bee colony algorithm[J]. Acta Optica Sinica, 38, 0606002(2018).
[24] Akhlaghi M, Emami F. Fuzzy adaptive modified PSO-algorithm assisted to design of photonic crystal fiber Raman amplifier[J]. Journal of the Optical Society of Korea, 17, 237-241(2013).
[25] Bottacini M, Poli F, Cucinotta A et al. Modeling of photonic crystal fiber Raman amplifiers[J]. Journal of Lightwave Technology, 22, 1707-1713(2004).
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Jiamin Gong, Fang Liu, Yijie Wu, Yunsheng Zhang, Shutao Lei, Zehao Zhu. Design of Raman Fiber Amplifier Based on Neural Network and Artificial Bee Colony Algorithm[J]. Acta Optica Sinica, 2021, 41(20): 2006002
Category: Fiber Optics and Optical Communications
Received: Jan. 14, 2021
Accepted: May. 6, 2021
Published Online: Oct. 7, 2021
The Author Email: Liu Fang (lf15170905229@163.com)