• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 7, 2181 (2022)
Cai-ling WANG1、*, Bo WANG2、2;, Tong JI3、3;, Jun XU4、4;, Feng JU5、5;, and Hong-wei WANG6、6; *;
Author Affiliations
  • 11. College of Computer Science, Xi’an Shiyou University, Xi’an 710065, China
  • 22. Grassland Experiment Station of Yanchi, Yanchi 751506, China
  • 33. College of Grass Industry, Gansu Agricultural University, Lanzhou 730070, China
  • 44. Xi’an Aeronautical University, Xi’an 710077, China
  • 55. Yinchuan Customs District P. R. China, Yinchuan 750000, China
  • 66. School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi’an 710072, China
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    DOI: 10.3964/j.issn.1000-0593(2022)07-2181-06 Cite this Article
    Cai-ling WANG, Bo WANG, Tong JI, Jun XU, Feng JU, Hong-wei WANG. Simulated Estimation of Nitrite Content in Water Based on Transmission Spectrum[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2181 Copy Citation Text show less
    Original transmission spectra
    Fig. 1. Original transmission spectra
    The prediction results of the test set and training set using the full-band random forest model
    Fig. 2. The prediction results of the test set and training set using the full-band random forest model
    Random forest variable importance (IncMSE) graph
    Fig. 3. Random forest variable importance (IncMSE) graph
    Cross-validation
    Fig. 4. Cross-validation
    The prediction results of the test set and training set of the random forest model
    Fig. 5. The prediction results of the test set and training set of the random forest model
    探测器光谱范围/nm光学分辨率/nm信噪比尺寸/mm杂散光/AU操作温度/℃狭缝接口
    Back-thinned CCD181.1~1 030.10.61~0.9400∶188.9×63.5×52.4>30~40SMA 905
    Table 1. Spectrometer parameters
    TreeMytryMean of
    squared residuals
    %Var
    explained
    R2RMSE
    500400.000 6976.490.820 30.03
    Table 2. Spectrometer parameters
    TreeMytryMean of
    squared residuals
    %Var
    explained
    R2RMSE
    50040.000 5583.450.873 40.022
    Table 3. Optimize random forest model parameters
    模型Mean of
    squared residuals
    %Var
    explained
    R2RMSE
    全波段随机森林模型0.000 6976.490.820 30.03
    优化随机森林模型0.000 5583.450.873 40.022
    Table 5. Model accuracy test
    Cai-ling WANG, Bo WANG, Tong JI, Jun XU, Feng JU, Hong-wei WANG. Simulated Estimation of Nitrite Content in Water Based on Transmission Spectrum[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2181
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