• Spectroscopy and Spectral Analysis
  • Vol. 40, Issue 8, 2546 (2020)
GAO Wei1, YANG Ke-ming1、*, LI Meng-qian2, LI Yan-ru1, and HAN Qian-qian1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2020)08-2546-06 Cite this Article
    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 Copy Citation Text show less
    References

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

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

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

    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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