• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 8, 2437 (2021)
Hao-guang LI*, Yun-hua YU1; 2;, Yan PANG1;, and Xue-feng SHEN1; 2;
Author Affiliations
  • 1. College of Mechanical and Control Engineering, Shandong Institute of Petrochemical and Chemical Technology, Dongying 257061, China
  • show less
    DOI: 10.3964/j.issn.1000-0593(2021)08-2437-06 Cite this Article
    Hao-guang LI, Yun-hua YU, Yan PANG, Xue-feng SHEN. Study on Characteristic Wavelength Extraction Method for Near Infrared Spectroscopy Identification Based on Genetic Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2437 Copy Citation Text show less
    Selection of wavelength points based on genetic algorithms
    Fig. 1. Selection of wavelength points based on genetic algorithms
    Recognition rate as population size increasing
    Fig. 2. Recognition rate as population size increasing
    Curve of convergence time as population size increasing
    Fig. 3. Curve of convergence time as population size increasing
    Curve of recognition rate as crossing rate changing
    Fig. 4. Curve of recognition rate as crossing rate changing
    Curve of convergence time as crossover rate changing
    Fig. 5. Curve of convergence time as crossover rate changing
    Curve of recognition rate as variation rate changing
    Fig. 6. Curve of recognition rate as variation rate changing
    Curve of convergence time as variation rate changing
    Fig. 7. Curve of convergence time as variation rate changing
    Curve of recognition rate when characteristic wavelength points increasing
    Fig. 8. Curve of recognition rate when characteristic wavelength points increasing
    12345678910
    9701 1001 1991 217.81 279.81 304.51 329.31 335.51 515.11 639
    Table 1. Characteristic wavelength point list (nm)
    测试集T1T2T3T4T5
    正确识别率/%94.894.495.691.291.8
    正确拒识率/%94.693.298.093.293.2
    平均识别率/%94.793.896.892.292.5
    Table 2. Recognition results (Characteristic wavelength point)
    测试集T1T2T3T4T5
    正确识别率/%95.095.095.090.0100.0
    正确拒识率/%95.095.0100.095.090.0
    平均识别率/%95.095.097.592.595.0
    Table 3. Recognition results (whole spectra)
    测试集T2T3T4T5
    正确识别率/%96.094.096.093.0
    正确拒识率/%96.094.091.092.0
    平均识别率/%96.094.094.092.5
    Table 4. Recognition results (Characteristic wavelength point)
    测试集T2T3T4T5
    正确识别率/%95.095.096.093.0
    正确拒识率/%98.094.092.094.0
    平均识别率/%96.594.594.093.5
    Table 5. Recognition results (whole spectra)
    Hao-guang LI, Yun-hua YU, Yan PANG, Xue-feng SHEN. Study on Characteristic Wavelength Extraction Method for Near Infrared Spectroscopy Identification Based on Genetic Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2437
    Download Citation