Spectroscopy and Spectral Analysis, Volume. 41, Issue 3, 782(2021)
Infrared Spectrum Recognition Method Based on Symmetrized Dot Patterns Coupled With Deep Convolutional Neural Network
[1] [1] Rumelhart David E; Hinton Geoffrey E, Williams Ronald J. Nature, 1986, 323(6088): 533.
[2] [2] Lalis Jeremias, Gerardo Bobby, Byun Yung-Cheol. International Journal of Multimedia and Ubiquitous Engineering, 2014, 9(8): 149.
[3] [3] Hinton G E, Salakhutdinov R R. Science, 2006, 313(5786): 504.
[4] [4] Le Cun Y, Bengio Y, Hinton G. Nature, 2015, 521(7553): 436.
[5] [5] Silver D, Schrittwieser J, Simonyan K, et al. Nature, 2017, 550(7676): 354.
[6] [6] Silver D, Huang A, Maddison C J, et al. Nature, 2016, 529(7587): 484.
[7] [7] De Fauw J, Ledsam J R, Romera-Paredes B, et al. Nature Medicine, 2018, 24(9): 1342.
[8] [8] Lake B M, Salakhutdinov R, Tenenbaum J B. Science, 2015, 350(6266): 1332.
[9] [9] Kyathanahally S P, Dring A, Kreis R. Magnetic Resonance in Medicine, 2018, 80(3): 851.
[10] [10] Qu X, Huang Y, Lu H, et al. Angewandte Chemie International Edition, 2019, 201908162.
[11] [11] Zhang J, Liu W, Hou Y, et al. Analytical Letters, 2018, 51(7): 1029.
Get Citation
Copy Citation Text
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
Received: Feb. 23, 2020
Accepted: --
Published Online: Apr. 7, 2021
The Author Email: Hui-min HAO (haohuimin@tyut.edu.cn)