Spectroscopy and Spectral Analysis, Volume. 40, Issue 1, 284(2020)

Wood Quality of Chinese Zither Panels Based on Convolutional Neural Network and Near-Infrared Spectroscopy

MENG Shi-yu1,*... HUANG Ying-lai1, ZHAO Peng1, LI Chao1, LIU Zhen-bo2, LIU Yi-xing2 and XU Yan3 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    [1] [1] Beena G Sood, Kathleen McLaughlin, Josef Cortez. Seminars in Fetal and Neonatal Medicine, 2015, 20(3): 164.

    [2] [2] Hwang S W, Horikawa Y, Lee W H, et al. Journal of Wood Science, 2016, 62(2): 156.

    [3] [3] Inagaki Tetsuya, Matsuo Miyuki, Tsuchikawa Satoru. Applied Physics A, 2016, 122: 208.

    [5] [5] Lee Hyungtae, Kwon Heesung. IEEE Transactions on Image Processing, 2017, 26(10): 4843.

    [6] [6] Justin Salamon, Juan Pablo Bello. IEEE Signal Processing Letters, 2017, 24(3): 279.

    [7] [7] Bulat Ibragimov, Lei Xing. Medical Physics, 2017, 44(2): 547.

    [10] [10] Diniz P H G D, Pistonesi M F, Alvarez M B. et al. Journal of Food Composition and Analysis, 2015, 39: 103.

    [11] [11] Manfred Schwanninger, José Carlos Rodrigues, Karin Fackler. Journal of Near Infrared Spectroscopy, 2011, 19(5): 287.

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    MENG Shi-yu, HUANG Ying-lai, ZHAO Peng, LI Chao, LIU Zhen-bo, LIU Yi-xing, XU Yan. Wood Quality of Chinese Zither Panels Based on Convolutional Neural Network and Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2020, 40(1): 284

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    Paper Information

    Received: Jul. 10, 2019

    Accepted: --

    Published Online: Apr. 4, 2020

    The Author Email: Shi-yu MENG (mengshiyu0109@163.com)

    DOI:10.3964/j.issn.1000-0593(2020)01-0284-06

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