Spectroscopy and Spectral Analysis, Volume. 41, Issue 1, 194(2021)
Feature Wavelength Optimization Algorithm for Water Quality COD Detection Based on Embedded Particle Swarm Optimization-Genetic Algorithm
Figures & Tables(8)
Fig. 1. Flow chart of embedded particle swarm optimization-genetic algorithm
Fig. 3. Comparison of iterative processes of EPSO_GA, PSO and GA algorithms
Fig. 4. Performance of each model for COD prediction
(a): Full-spectrum PLS; (b): PSO_PLS; (c): GA_PLS; (d): EPSO_GA_PLS
Table 1. UV-Visible absorption spectrum data set
View tableView in ArticleTable 1. UV-Visible absorption spectrum data set
样本 COD/
(mg·L-1)198.98
(nm)199.78
(nm)200.58
(nm)… 993.06
(nm)993.78
(nm)1 10.40 0.032 0.049 0.032 … 0.176 0.000 2 9.45 -0.005 0.016 0.013 … 0.000 0.477 3 8.67 0.017 0.009 0.013 … 0.000 0.117 … … … … … … … … 43 10.67 0.165 0.178 0.157 … 0.000 0.000 44 10.00 0.165 0.167 0.165 … -0.301 0.000 45 9.41 0.154 0.156 0.153 … 0.000 0.000 46 8.89 0.163 0.152 0.153 … -0.477 -0.602
Table 2. Experimental results of EPSO_GA, PSO and GA algorithms
View tableView in ArticleTable 2. Experimental results of EPSO_GA, PSO and GA algorithms
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 PSO 289.76 386.67 445.23 542.68 777.37 787.80 48 0.165 3 GA 289.76 372.56 486.36 507.24 539.61 883.87 131 0.154 7 EPSO_GA 285.80 372.56 496.42 544.99 638.19 945.96 81 0.106 9
Table 3. Errors between COD predicted values and true COD values for each model
View tableView in ArticleTable 3. Errors between COD predicted values and true COD values for each model
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)14.54 13.06 14.32 14.59 14.54 -1.48 -0.22 0.05 0.00 10.67 11.16 10.91 10.62 10.77 0.49 0.24 -0.05 0.10 6.12 5.79 5.76 6.54 6.19 -0.33 -0.36 0.42 0.07 16.00 15.75 16.34 16.06 16.03 -0.25 0.34 0.06 0.03 32.00 31.59 31.82 31.59 31.64 -0.41 -0.18 -0.41 -0.36 7.53 6.85 7.81 7.58 7.38 -0.68 0.28 0.05 -0.15 22.6 24.91 22.86 22.98 22.92 2.31 0.26 0.38 0.32 4.76 5.53 4.67 4.41 4.63 0.77 -0.09 -0.35 -0.13 15.06 13.89 15.16 15.51 15.12 -1.17 0.10 0.45 0.06 5.02 4.89 4.6 5.25 5.05 -0.13 -0.42 0.23 0.03 4.16 2.95 4.48 4.05 4.11 -1.21 0.32 -0.11 -0.05 5.312 6.07 5.31 5.32 4.79 0.758 -0.002 0.008 -0.522 10.04 8.43 10.52 10.03 10.17 -1.61 0.48 -0.01 0.13 5.47 6.56 5.73 5.82 5.69 1.09 0.26 0.35 0.22
Table 4. Indicator performance of each model
View tableView in ArticleTable 4. Indicator performance of each model
模型 RMSE MAE MedAE R 2PLS 1.081 9 0.906 5 0.761 2 0.980 7 PSO_PLS 0.284 1 0.254 7 0.261 5 0.998 6 GA_PLS 0.269 4 0.170 5 0.209 4 0.998 8 EPSO_GA_PLS 0.212 3 0.155 2 0.112 7 0.999 3
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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
Paper Information
Category: Research Articles
Received: Dec. 17, 2019
Accepted: --
Published Online: Apr. 8, 2021
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