[1] XIONG J, LI Z B, HUANG Q T, et al. A new packaged FBG sensor for underground cable temperature monitoring[C]. IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, 2017: 1789-1793.
[2] QI Yue-feng, LI Cai-ling, JIANG Peng, et al. Spectral shape multiplexing techology of fiber braggratings using simulated annealing algorithm[J]. Acta Optica Sinica, 2015, 35(9): 0906004.
[3] LIU Kun, LI Xin, JIANG Jun-feng, et al. FBG sensing noise reduction demodulation algorithm based on all-phase filters[J]. Acta Photonica Sinica, 2018, 47(5): 0506002.
[4] CHEN J, JIANG H, LIU T D, et al. Wavelength detection in FBG sensor networks using least squares support vector regression[J]. Journal of Optics, 2014: 045402.
[5] JIANG H, CHEN J, LIU T D. Wavelength detection in spectrally overlapped FBG sensor network using extreme learning machine[J]. Photonics Techenology Letters, 2014, 26(20): 2031-2034.
[6] GONG J M, MACALPINE J M K, CHAN C C, et al. A novel wavelength detection technique for fiber bragggrating sensors[J].IEEE Photonics Technology Letters, 2002,14(5): 678-680.
[7] SHI C Z, CHAN C, JIN W, et al. Improving the performance of a FBG sensor network using a genetic algorithm[J]. Sensors and Actuators A: Physical, 2003, 107(1): 57-61.
[8] LIANG J J, CHAN C C, HUANG V L, et al. Improving the performance of a FBG sensor network using a novel dynamic multi-swarm particle swarm optimizer[C]. SPIE, 2005, 5998: 59980O.
[10] LIANG J J, SUGANTHAN P N, CHAN C C, et al. Wavelength detection in FBG sensor network using tree search DMS-PSO[J]. IEEE Photonics Technology Letters,2006, 18(12): 1305-1307.
[11] JIANG H, CHEN J, LIU T D, et al. A novel wavelength detection technique of overlapping spectra in the serial WDM-FBG sensor network[J]. Sensors and Actuators, A: Physical, 2013, 198:31-34.
[12] ZHOU Shu-de, SUN Zeng-qi. A survey on estimation of distribution algorithms[J]. Acta Automation Sinica, 2007, 33(2): 113-124.
[13] YANG Q, CHEN W N, LI Y, et al. Multimodal estimation of distribution algorithms[J]. IEEE Transactions on Cybernetics, 2017, 47(3): 636-650.
[14] YU Jian-jun, ZHENG Yi-jia, RUAN Xiao-gang, et al. Parameter optimization of trajectory imitation learning characterization based on Gaussian mixture model[J]. Journal of Beijing University of Technology, 2017, 43(5): 719-728.
[15] LI K H, MA Z J, ROBINSON D, et al. Identification of typical building daily electricity usage profiles using Gaussian mixture model-baesd clustering and hierarchial clustering[J]. Applied Energy, 2018, 231: 331-342.