INFRARED, Volume. 43, Issue 10, 41(2022)

Research on Identification of Mold Species Based on FTIR Spectroscopy

Zheng-yu ZOU*, Xue-bin LIU, and Xin ZHAO
Author Affiliations
  • [in Chinese]
  • show less
    References(4)

    [11] [11] Dai Q. Recent advances in de-noising methods and their applications in hyperspectral image processing for the food industry [J]. Comprehensive Reviews in Food Science and Food Safety, 2014, 13(6): 1207-1218.

    [13] [13] Andy L, Matthew W. Classification and regression by Random Forests [J]. R news, 2002, 2(3): 18-22.

    [14] [14] Erc B, Ron K. An empirical comparison of voting classification algorithms: bagging, boosting and variants [J]. Machine Learning, 1999, 36(1): 105-139.

    [16] [16] Xia J S, Liao W Z, Chanussot J, et al. Improving Random Forest with ensemble of features and semisupervised feature extraction [J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(7): 1471-1475.

    Tools

    Get Citation

    Copy Citation Text

    ZOU Zheng-yu, LIU Xue-bin, ZHAO Xin. Research on Identification of Mold Species Based on FTIR Spectroscopy[J]. INFRARED, 2022, 43(10): 41

    Download Citation

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

    Category:

    Received: Aug. 30, 2022

    Accepted: --

    Published Online: Feb. 20, 2023

    The Author Email: ZOU Zheng-yu (18761683681@163.com)

    DOI:10.3969/j.issn.1672-8785.2022.11.007

    Topics