Optical Technique, Volume. 47, Issue 4, 438(2021)

Visible/Near infrared spectroscopy modeling of soil nitrogen content based on PSO-CNN

LIU Lanjun1,2、*, ZHAI Yongqing1, ZHENG Junjun1, FAN Pingping3, and DENG Li1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(5)

    [14] [14] Mujahid H Khalifa, Marwa A, Wael O, et al. Particle swarm optimization for deep learning of convolution neural network[C]∥ 2017 Sudan Conference on Computer Science and Information Technology (SCCSIT), West Kurdofan, Sudan:IEEE, 2017:1—5.

    [15] [15] Geoffrey E, Hinton, Simon, et al. A fast learning algorithm for deep belief nets[J]. Neural Computation,2006,1(1):[L6]1527—1554.

    [18] [18] Jia D , Wei D , Socher R , et al. ImageNet: A large-scale hierarchical image database[J], Proc of IEEE Computer Vision & Pattern Recognition,2009,9(1):248—255.

    [20] [20] Kennedy J, Eberhart R, Particle swarm optimization[C]∥Proceedings of ICNN'95 - International Conference on Neural Networks, Perth, WA, Australia:IEEE, 1995:1942—1948.

    [22] [22] Guangwei Li, Jing Zhang, Tao Pan, et al. Rapid analysis of soil copper content for the pearl river delta based on near-infrared spectroscopy combined with SG-PLS[J]. American Journal of Analytical Chemistry,2018,9(12):622—632.

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    LIU Lanjun, ZHAI Yongqing, ZHENG Junjun, FAN Pingping, DENG Li. Visible/Near infrared spectroscopy modeling of soil nitrogen content based on PSO-CNN[J]. Optical Technique, 2021, 47(4): 438

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    Paper Information

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    Received: Dec. 30, 2020

    Accepted: --

    Published Online: Sep. 1, 2021

    The Author Email: Lanjun LIU (hdliulj@ouc.edu.cn)

    DOI:

    CSTR:32186.14.

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