• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 12, 3740 (2021)
Hao MA1; 2;, Kai ZHANG1;, Jiang-tao JI1; 2; *;, Xin JIN1; 2;, and Kai-xuan ZHAO1; 2;
Author Affiliations
  • 1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
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    DOI: 10.3964/j.issn.1000-0593(2021)12-3740-07 Cite this Article
    Hao MA, Kai ZHANG, Jiang-tao JI, Xin JIN, Kai-xuan ZHAO. Quantitative Detection of Agaricus Bisporus Freshness Based on VIS-NIR Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3740 Copy Citation Text show less
    Spectral pretreating(a): Original spectra; (b): Smoothing+MSC
    Fig. 1. Spectral pretreating
    (a): Original spectra; (b): Smoothing+MSC
    Flowchart of data processing
    Fig. 2. Flowchart of data processing
    The flowchart of the ELM algorithm optimized with SOA
    Fig. 3. The flowchart of the ELM algorithm optimized with SOA
    Results of principal component analysis
    Fig. 4. Results of principal component analysis
    Preferred characteristic wavelength distribution
    Fig. 5. Preferred characteristic wavelength distribution
    Full spectroscopy and ELM detection results
    Fig. 6. Full spectroscopy and ELM detection results
    PCA+ELM detection results
    Fig. 7. PCA+ELM detection results
    SPA+-ELM test results
    Fig. 8. SPA+-ELM test results
    SPA+PSO-ELM test results
    Fig. 9. SPA+PSO-ELM test results
    SPA+SOA-ELM test results
    Fig. 10. SPA+SOA-ELM test results
    分类方法神经元
    个数
    输入传递
    函数
    训练集
    正确率
    /%
    测试集
    正确率
    /%
    ELM10全光谱sig73.7575
    ELM10PCA主成份sig10095
    ELM10SPA特征波长sig86.37588
    PSO-ELM10SPA特征波长sig96.2592.5
    SOA-ELM10SPA特征波长sig93.2594
    Table 1. Comparison results of the classificationmodel testing
    Hao MA, Kai ZHANG, Jiang-tao JI, Xin JIN, Kai-xuan ZHAO. Quantitative Detection of Agaricus Bisporus Freshness Based on VIS-NIR Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3740
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