Spectroscopy and Spectral Analysis, Volume. 40, Issue 8, 2546(2020)

Hyperspectral SFIM-RFR Model on Predicting the Total Iron Contents of Iron Ore Powders

GAO Wei1... YANG Ke-ming1,*, LI Meng-qian2, LI Yan-ru1 and HAN Qian-qian1 |Show fewer author(s)
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    References(5)

    [1] [1] Hu H, Tang Y, Ying H, et al. Talanta, 2014, 125: 425.

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    [10] [10] Basayigit L, Dedeoglu M, Akgul H. Turkish Jouranal of Agriculture and Forestry, 2015, 39(1): 123.

    [11] [11] Guo Y M, Guo L B, Hao Z Q, et al. Journal of Analytical Atomic Spectrometry, 2018, 33(8): 1330.

    [14] [14] Breiman L. Machine Learning, 2001, 45(1): 5.

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    GAO Wei, YANG Ke-ming, LI Meng-qian, LI Yan-ru, HAN Qian-qian. Hyperspectral SFIM-RFR Model on Predicting the Total Iron Contents of Iron Ore Powders[J]. Spectroscopy and Spectral Analysis, 2020, 40(8): 2546

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    Paper Information

    Received: Dec. 9, 2019

    Accepted: --

    Published Online: Dec. 3, 2020

    The Author Email: Ke-ming YANG (ykm69@163.com)

    DOI:10.3964/j.issn.1000-0593(2020)08-2546-06

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