• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 1, 68 (2022)
Ya-chun MAO1、*, Jian WEN1、1; *;, Yan-hua FU2、2;, Wang CAO1、1;, Zhan-guo ZHAO3、3;, and Rui-bo DING1、1;
Author Affiliations
  • 11. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China
  • 22. Northeastern University JangHo Architecture, Shenyang 110819, China
  • 33. China National Gold Group Co., Ltd., Beijing 100000, China
  • show less
    DOI: 10.3964/j.issn.1000-0593(2022)01-0068-06 Cite this Article
    Ya-chun MAO, Jian WEN, Yan-hua FU, Wang CAO, Zhan-guo ZHAO, Rui-bo DING. Quantitative Inversion Model Based on the Visible and Near-Infrared Spectrum for Skarn-Type Iron Ore[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 68 Copy Citation Text show less
    Experimental samples
    Fig. 1. Experimental samples
    Visible and near infrared spectra of samples
    Fig. 2. Visible and near infrared spectra of samples
    Spectral curves after reciprocal logarithm processing
    Fig. 3. Spectral curves after reciprocal logarithm processing
    Multivariate scatter corrected spectral curves
    Fig. 4. Multivariate scatter corrected spectral curves
    Flow chart of genetic algorithm to select the optimal band
    Fig. 5. Flow chart of genetic algorithm to select the optimal band
    Principal component analysis results
    Fig. 6. Principal component analysis results
    The difference between the predicated value and the true value
    Fig. 7. The difference between the predicated value and the true value
    预处理结果R2RMSEMRE
    未经处理的数据0.910.0540.16
    GA0.880.0540.17
    倒数对数-GA0.880.0680.20
    MSC-GA0.890.0590.18
    PCA0.910.0530.16
    倒数对数-PCA0.890.0610.21
    MSC-PCA0.910.0510.16
    Table 1. Assessment of RF inversion results
    预处理结果R2RMSEMRE
    未经处理的数据0.900.0570.20
    GA0.910.0560.20
    倒数对数-GA0.950.0440.16
    MSC-GA0.880.0730.22
    PCA0.940.0420.16
    倒数对数-PCA0.910.0550.20
    MSC-PCA0.990.00570.02
    Table 2. Assessment of ELM inversion results
    Ya-chun MAO, Jian WEN, Yan-hua FU, Wang CAO, Zhan-guo ZHAO, Rui-bo DING. Quantitative Inversion Model Based on the Visible and Near-Infrared Spectrum for Skarn-Type Iron Ore[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 68
    Download Citation