• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 3, 782 (2021)
HAO Hui-min1、2、*, LIANG Yong-guo1、2, WU Hai-bin1、2, BU Ming-long1、2, and HUANG Jia-hai1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2021)03-0782-07 Cite this Article
    HAO Hui-min, LIANG Yong-guo, WU Hai-bin, BU Ming-long, HUANG Jia-hai. Infrared Spectrum Recognition Method Based on Symmetrized Dot Patterns Coupled With Deep Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2021, 41(3): 782 Copy Citation Text show less
    References

    [1] Rumelhart David E; Hinton Geoffrey E, Williams Ronald J. Nature, 1986, 323(6088): 533.

    [2] Lalis Jeremias, Gerardo Bobby, Byun Yung-Cheol. International Journal of Multimedia and Ubiquitous Engineering, 2014, 9(8): 149.

    [3] Hinton G E, Salakhutdinov R R. Science, 2006, 313(5786): 504.

    [4] Le Cun Y, Bengio Y, Hinton G. Nature, 2015, 521(7553): 436.

    [5] Silver D, Schrittwieser J, Simonyan K, et al. Nature, 2017, 550(7676): 354.

    [6] Silver D, Huang A, Maddison C J, et al. Nature, 2016, 529(7587): 484.

    [7] De Fauw J, Ledsam J R, Romera-Paredes B, et al. Nature Medicine, 2018, 24(9): 1342.

    [8] Lake B M, Salakhutdinov R, Tenenbaum J B. Science, 2015, 350(6266): 1332.

    [9] Kyathanahally S P, Dring A, Kreis R. Magnetic Resonance in Medicine, 2018, 80(3): 851.

    [10] Qu X, Huang Y, Lu H, et al. Angewandte Chemie International Edition, 2019, 201908162.

    [11] Zhang J, Liu W, Hou Y, et al. Analytical Letters, 2018, 51(7): 1029.

    [13] Simonyan K, Zisserman A. Very Deep Convolutional Networks for Large-Scale Image Recognition. The 3rd International Conference on Learning Represantations (ICLR 2015). 2015, arXiv: 1409.1556.

    HAO Hui-min, LIANG Yong-guo, WU Hai-bin, BU Ming-long, HUANG Jia-hai. Infrared Spectrum Recognition Method Based on Symmetrized Dot Patterns Coupled With Deep Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2021, 41(3): 782
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