• Acta Optica Sinica
  • Vol. 35, Issue 11, 1123004 (2015)
Chen Jing1、*, Jiang Hao2、3, Liu Tundong1、4, and Qiao Sun4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    DOI: 10.3788/aos201535. Cite this Article Set citation alerts
    Chen Jing, Jiang Hao, Liu Tundong, Qiao Sun. Optimization for Raman Fiber Amplifiers Based on Least Squares Support Vector Regression Model[J]. Acta Optica Sinica, 2015, 35(11): 1123004 Copy Citation Text show less
    References

    [1] Da Silva D V, Gomes A S L. Performance of analog optical links employing fiber Raman amplifiers[J]. Opt Commun, 2009, 282(15): 3085-3088.

    [2] Long Qingyun, Wu Tingwan, Hu Sumei, et al.. Threshold characteristics of forward- pumped fiber Raman amplifier[J]. Laser & Optoelectronics Progress, 2014, 51(3): 030603.

    [3] Wang Danyan, Jiang Haiming, Xie Kang. Study on polarization dependent gain of fiber Raman amplifiers with backward multiple pumps [J]. Chinese J Lasers, 2014, 41(9): 0905008.

    [4] Haiming Jiang, Kang Xie, Yafei Wang. Efficient extraction of input pump powers from pump power integrals in the optimization of Raman fiber amplifiers[J]. J Lightwave Technol, 2010, 28(13): 1932-1937.

    [5] Gustavo C M Ferreira, S P N Cani, M J Pontes, et al.. Optimization of distributed Raman amplifiers using a hybrid genetic algorithm with geometric compensation technique[J]. IEEE Photonics Journal, 2011, 3(3): 390-399.

    [6] B Neto, A L J Teixeira, N Wada, et al.. Efficient use of hybrid genetic algorithms in the gain optimization of distributed Raman amplifiers [J]. Opt Express, 2007, 15(26): 17520-17528.

    [7] Zhang Xuliang,Yu Zhangwei,Qiang Zexuan, et al.. Design of Raman amplifier with high flat gain in broad band using genetic algorithm [J]. Journal of Zhejiang University(Engineering Science), 2004, 38(5): 562-565.

    [8] Minhui Yan, Jianping Chen, Wenning Jiang, et al.. Automatic design scheme for optical-fiber Raman amplifiers backward-pumped with multiple laser diode pumps[J]. IEEE Phonton Technol Lett 2001, 13(9): 948-950.

    [9] Haiming Jiang, Kang Xie, Yafei Wang. Pump scheme for gain-flattened Raman fiber amplifiers using improved particle swarm optimization and modified shooting algorithm[J]. Opt Express, 2010, 18(11): 11033-11045.

    [10] Haiming Jiang, Kang Xie, Yafei Wang. Shooting algorithm and particle swarm optimization based Raman fiber amplifiers gain spectra design[J]. Opt Commun, 2010, 283(13): 3348-3352.

    [11] Jiang Haiming, Xie Kang, Wang Yafei. Design of multi-pumped Raman fiber amplifier by particle swarm optimization[J]. Journal of Optoelectronics·Laser, 2004, 15(10): 1190-1193.

    [12] S M Roberts, J S Shipman. Two-Point Boundary Value Problems: Shooting Methods[M]. New York: American Elsevier, 1972.

    [13] X Liu, B Lee. Effective shooting algorithm and its application to fiber amplifiers[J]. Opt Express, 2003, 11(12): 1452-1461.

    [14] Tong Zhi, Wei Huai, Jian Shuisheng. Numerical simulation and optimization of broadband fiber Raman amplifiers using multi-wavelength pumps[J]. Acta Optica Sinica, 2003, 23(2): 193-196.

    [15] Haiming Jiang, Kang Xie, Yafei Wang. Optimization of pump parameters for gain flattened Raman fiber amplifiers based on artificial fish school algorithm[J]. Opt Commun, 2011, 284(23): 5480-5483.

    [16] Haiming Jiang, Kang Xie, Yafei Wang. Novel design of flat gain spectrum Raman fiber amplifiers based on ant colony optimization[J]. IEEE Phonton Technol Lett, 2011, 23(23): 1823-1825.

    [17] Haiming Jiang, Kang Xie, Yafei Wang. Flat gain spectrum design of Raman fiber amplifiers based on particle swarm optimization and average power analysis technique[J]. Optics and Lasers in Engineering, 2012, 50(2): 226-230.

    [18] H Kidorf, K Rottwitt, M Nissov, et al.. Pump interactions in a 100-nm bandwidth Raman amplifier[J]. IEEE Photon Technol Lett, 1999, 11(5): 74-78.

    [19] V E Perlin, H G Winful. On distributed Raman amplification for ultrabroad-band long-haul WDM systems[J]. J Lightwave Technol, 2002, 20(3): 409-416.

    [20] X Liu, M Zhang. An effective method for two-point boundary value problems in Raman amplifier propagation equations[J]. Opt Commun, 2004, 235(3): 75-82.

    [21] M A Hearst, S Dumais, E Osman, et al.. Support vector machines[J]. Intelligent Systems and their Applications, IEEE, 1998, 13(4): 18-28.

    [22] J A K Suykens, J De Brabanter, L Lukas, et al.. Weighted least squares support vector machines: Robustness and sparce approximation [J]. Neuro Computing, 2002, 48(1): 85-105.

    [23] B Scholkopf, K K Sung, C J Burges, et al.. Comparing support vector machines with Gaussian kernels to radial basis function classifiers [J]. Signal Processing, IEEE Transactions on, 1997, 45(11): 2758-2765.

    [24] O Chapelle, V Vapnik, O Bousquet, et al.. Choosing multiple parameters for support vector machines[J]. Machine Learning, 2002, 46 (1-3): 131-159.

    [25] D Wu, Y He, S Feng, et al.. Study on infrared spectroscopy technique for fast measurement of protein content in milk powder based on LS-SVM[J]. Journal of Food Engineering, 2008, 84(1): 124-131.

    [26] G C Cawley, N L C Talbot. Fast exact leave-one-out cross-validation of sparse least-squares support vector machines[J]. Neural Networks, 2004, 17(10): 1467-1475.

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    Chen Jing, Jiang Hao, Liu Tundong, Qiao Sun. Optimization for Raman Fiber Amplifiers Based on Least Squares Support Vector Regression Model[J]. Acta Optica Sinica, 2015, 35(11): 1123004
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