Spectroscopy and Spectral Analysis, Volume. 42, Issue 7, 2181(2022)
Simulated Estimation of Nitrite Content in Water Based on Transmission Spectrum
Figures & Tables(9)
Fig. 2. The prediction results of the test set and training set using the full-band random forest model
Fig. 5. The prediction results of the test set and training set of the random forest model
Table 1. Spectrometer parameters
View tableView in ArticleTable 1. Spectrometer parameters
探测器 光谱范围/nm 光学分辨率/nm 信噪比 尺寸/mm 杂散光/AU 操作温度/℃ 狭缝接口 Back-thinned CCD 181.1~1 030.1 0.61~0.9 400∶1 88.9×63.5×52.4 >3 0~40 SMA 905
Table 2. Spectrometer parameters
View tableView in ArticleTable 2. Spectrometer parameters
Tree Mytry Mean of
squared residuals%Var
explainedR2 RMSE 500 40 0.000 69 76.49 0.820 3 0.03
Table 3. Optimize random forest model parameters
View tableView in ArticleTable 3. Optimize random forest model parameters
Tree Mytry Mean of
squared residuals%Var
explainedR2 RMSE 500 4 0.000 55 83.45 0.873 4 0.022
Table 5. Model accuracy test
View tableView in ArticleTable 5. Model accuracy test
模型 Mean of
squared residuals%Var
explainedR2 RMSE 全波段随机森林模型 0.000 69 76.49 0.820 3 0.03 优化随机森林模型 0.000 55 83.45 0.873 4 0.022
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Cai-ling WANG, Bo WANG, Tong JI, Jun XU, Feng JU, Hong-wei WANG. Simulated Estimation of Nitrite Content in Water Based on Transmission Spectrum[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2181
Paper Information
Category: Orginal Article
Received: Aug. 19, 2021
Accepted: --
Published Online: Nov. 16, 2022
The Author Email: WANG Cai-ling (azering@163.com)
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