• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 1, 194 (2021)
Wei QI, Peng FENG, Biao WEI, Dong ZHENG, Ting-ting YU, and Peng-yong LIU
Author Affiliations
  • Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University, Chongqing 400044, China
  • show less
    DOI: 10.3964/j.issn.1000-0593(2021)01-0194-07 Cite this Article
    Wei QI, Peng FENG, Biao WEI, Dong ZHENG, Ting-ting YU, Peng-yong LIU. Feature Wavelength Optimization Algorithm for Water Quality COD Detection Based on Embedded Particle Swarm Optimization-Genetic Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(1): 194 Copy Citation Text show less
    Flow chart of embedded particle swarm optimization-genetic algorithm
    Fig. 1. Flow chart of embedded particle swarm optimization-genetic algorithm
    Comparison between the original and denoising spectra
    Fig. 2. Comparison between the original and denoising spectra
    Comparison of iterative processes of EPSO_GA, PSO and GA algorithms
    Fig. 3. Comparison of iterative processes of EPSO_GA, PSO and GA algorithms
    Performance of each model for COD prediction(a): Full-spectrum PLS; (b): PSO_PLS; (c): GA_PLS; (d): EPSO_GA_PLS
    Fig. 4. Performance of each model for COD prediction
    (a): Full-spectrum PLS; (b): PSO_PLS; (c): GA_PLS; (d): EPSO_GA_PLS
    样本COD/
    (mg·L-1)
    198.98
    (nm)
    199.78
    (nm)
    200.58
    (nm)
    993.06
    (nm)
    993.78
    (nm)
    110.400.0320.0490.0320.1760.000
    29.45-0.0050.0160.0130.0000.477
    38.670.0170.0090.0130.0000.117
    4310.670.1650.1780.1570.0000.000
    4410.000.1650.1670.165-0.3010.000
    459.410.1540.1560.1530.0000.000
    468.890.1630.1520.153-0.477-0.602
    Table 1. UV-Visible absorption spectrum data set
    算法特征波长1
    /nm
    特征波长2
    /nm
    特征波长3
    /nm
    特征波长4
    /nm
    特征波长5
    /nm
    特征波长6
    /nm
    迭代次数
    /次
    RMSE
    PSO289.76386.67445.23542.68777.37787.80480.165 3
    GA289.76372.56486.36507.24539.61883.871310.154 7
    EPSO_GA285.80372.56496.42544.99638.19945.96810.106 9
    Table 2. Experimental results of EPSO_GA, PSO and GA algorithms
    COD
    真实值
    COD预测值
    (PLS)
    COD预测值
    (PSO_PLS)
    COD预测值
    (GA_PLS)
    COD预测值
    (EPSO_GA_PLS)
    误差
    (PLS)
    误差
    (PSO_PLS)
    误差
    (GA_PLS)
    误差
    (EPSO_GA_PLS)
    14.5413.0614.3214.5914.54-1.48-0.220.050.00
    10.6711.1610.9110.6210.770.490.24-0.050.10
    6.125.795.766.546.19-0.33-0.360.420.07
    16.0015.7516.3416.0616.03-0.250.340.060.03
    32.0031.5931.8231.5931.64-0.41-0.18-0.41-0.36
    7.536.857.817.587.38-0.680.280.05-0.15
    22.624.9122.8622.9822.922.310.260.380.32
    4.765.534.674.414.630.77-0.09-0.35-0.13
    15.0613.8915.1615.5115.12-1.170.100.450.06
    5.024.894.65.255.05-0.13-0.420.230.03
    4.162.954.484.054.11-1.210.32-0.11-0.05
    5.3126.075.315.324.790.758-0.0020.008-0.522
    10.048.4310.5210.0310.17-1.610.48-0.010.13
    5.476.565.735.825.691.090.260.350.22
    Table 3. Errors between COD predicted values and true COD values for each model
    模型RMSEMAEMedAER2
    PLS1.081 90.906 50.761 20.980 7
    PSO_PLS0.284 10.254 70.261 50.998 6
    GA_PLS0.269 40.170 50.209 40.998 8
    EPSO_GA_PLS0.212 30.155 20.112 70.999 3
    Table 4. Indicator performance of each model
    Wei QI, Peng FENG, Biao WEI, Dong ZHENG, Ting-ting YU, Peng-yong LIU. Feature Wavelength Optimization Algorithm for Water Quality COD Detection Based on Embedded Particle Swarm Optimization-Genetic Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(1): 194
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