• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 2, 448 (2021)
Ang-xin TONG*, Xiao-jun TANG, Feng ZHANG, and Bin WANG
Author Affiliations
  • State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
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    DOI: 10.3964/j.issn.1000-0593(2021)02-0448-06 Cite this Article
    Ang-xin TONG, Xiao-jun TANG, Feng ZHANG, Bin WANG. Species Identification of NaCl, NaOH and β-Phenylethylamine Based on Ultraviolet Spectrophotometry and Supervised Pattern Recognition Technology[J]. Spectroscopy and Spectral Analysis, 2021, 41(2): 448 Copy Citation Text show less
    Structure diagram of sample dilution
    Fig. 1. Structure diagram of sample dilution
    Structure diagram of the equipment
    Fig. 2. Structure diagram of the equipment
    UV absorption spectra of NaCl, NaOH and PEA at 0.001 49 mol·L-1
    Fig. 3. UV absorption spectra of NaCl, NaOH and PEA at 0.001 49 mol·L-1
    UV absorption spectra of the mixtures at seven different concentrations
    Fig. 4. UV absorption spectra of the mixtures at seven different concentrations
    Distribution of score vector values in the space of the first three PCs
    Fig. 5. Distribution of score vector values in the space of the first three PCs
    Sample distribution of NaCl, NaOH and PEA in the plane of the discriminant functions
    Fig. 6. Sample distribution of NaCl, NaOH and PEA in the plane of the discriminant functions
    Classification results of the mixture obtained by three supervised classification method(a): RBF-SVM; (b): BP ANN; (c): ABC BP ANN; (a): RBF-SVM; (b): BP ANN; (c): ABC BP ANN; 1: 0%mol·L-1; 2: 10%mol·L-1; 3: 20%mol·L-1; 4: 30%mol·L-1; 5: 40%mol·L-1, 6: 50%mol·L-1; 7: 60%mol·L-1
    Fig. 7. Classification results of the mixture obtained by three supervised classification method
    (a): RBF-SVM; (b): BP ANN; (c): ABC BP ANN; (a): RBF-SVM; (b): BP ANN; (c): ABC BP ANN; 1: 0%mol·L-1; 2: 10%mol·L-1; 3: 20%mol·L-1; 4: 30%mol·L-1; 5: 40%mol·L-1, 6: 50%mol·L-1; 7: 60%mol·L-1
    ModelNaClNaOHPEAOverall
    SENSSPECSENSSPECSENSSPECSENSSPEC
    LDA10083.386.710010010095.694.4
    Sigmoid SVM97.887.389.198.110097.895.694.4
    RBF SVM98.387.989.499.110098.495.995.1
    RBF ANN98.787.689.199.599.598.995.895.3
    BP ANN10090.590.810010010096.996.8
    ABC BP-ANN10097.898.710010010099.699.3
    Table 1. The sensitivity and specificity of NaCl, NaOH and PEA for test sets obtained by supervised classification methods/%
    SpeciesSENS/%SPEC/%
    RBF SVMBP ANNABC BP-ANNRBF SVMBP ANNABC BP-ANN
    0%10010010091.291.291.2
    10%74.481.787.577.183.486.9
    20%73.782.492.681.686.990.2
    30%10010010094.694.694.6
    40%79.181.587.280.484.387.6
    50%10010010082.182.785.2
    60%82.890.494.387.289.794.8
    Table 2. The sensitivity and specificity of the mixture for test sets obtained by three supervised classification methods
    Ang-xin TONG, Xiao-jun TANG, Feng ZHANG, Bin WANG. Species Identification of NaCl, NaOH and β-Phenylethylamine Based on Ultraviolet Spectrophotometry and Supervised Pattern Recognition Technology[J]. Spectroscopy and Spectral Analysis, 2021, 41(2): 448
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