Spectroscopy and Spectral Analysis, Volume. 40, Issue 8, 2512(2020)

Near Infrared Spectral Analysis Modeling Method Based on Deep Belief Network

ZHANG Meng and ZHAO Zhong-gai*
Author Affiliations
  • [in Chinese]
  • show less
    References(14)

    [3] [3] Joscelin T Diaz, Matthew W Veal. Industrial Crops and Products, 2014, 59: 119.

    [4] [4] Matteo Ottavian, Enrica Franceschin, Elena Signorin. Journal of Food Engineering, 2015, 63(2): 199.

    [5] [5] Chen Quansheng, Zhao Jiewen, Liu Muhua. Journal of Pharmaceutical and Biomedical Analysis, 2008, 46(3): 568.

    [6] [6] Liu Yande, Sun Xudong, Ouyang Aiguo. LWT - Food Science and Technology, 2010, 43(4): 602.

    [7] [7] Cristina Malegori, Emanuel José Nascimento Marques. Talanta, 2017, 165: 112.

    [8] [8] Hinton G E, Salakhutdinov R R. Science, 2006, 313(5786): 504.

    [9] [9] Shang Chao, Huang Dexian, Yang Fan. Journal of Process Control, 2014, 24: 223.

    [11] [11] Wang Miaomiao, Zang Haixiang, Cheng Lilin. Energy Procedia, 2019, 158: 49.

    [12] [12] Salakhutdinov R R. Journal of Machine Learning Research-Proceedings Track, 2009, 9(1): 448.

    [13] [13] Hinton G E. Momentum, 2012, 9(1): 599.

    [14] [14] Hinton G E, Osindero S, Teh Y W. Neural Comput, 2006, 18(7): 1527.

    [15] [15] Harrington P B. Analytica Chimica Acta, 2018, 1010: 20.

    [16] [16] Malley D F, Ronicke H, Findlay D L. Journal of Paleolimnology, 1999, 21(3): 295.

    [17] [17] Saptoro A, Tade M O, Vuthaluru H. Chemical Product and Process Modeling, 2012, 7(1): 1.

    Tools

    Get Citation

    Copy Citation Text

    ZHANG Meng, ZHAO Zhong-gai. Near Infrared Spectral Analysis Modeling Method Based on Deep Belief Network[J]. Spectroscopy and Spectral Analysis, 2020, 40(8): 2512

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Jul. 11, 2019

    Accepted: --

    Published Online: Dec. 3, 2020

    The Author Email: Zhong-gai ZHAO (gaizihao@jiangnan.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2020)08-2512-06

    Topics