Fusheng Li, Xiaolong Zeng. Quantitative Analysis Method of Soil Elements Combining Sensitivity Dimensionality Reduction and Support Vector Regression[J]. Laser & Optoelectronics Progress, 2023, 60(5): 0530002
- Laser & Optoelectronics Progress
- Vol. 60, Issue 5, 0530002 (2023)
Fig. 1. Spectra before and after background subtraction. (a) Original spectrum and estimated background; (b) original spectrum and corrected spectrum
Fig. 2. Preprocessing effect after background subtraction
Fig. 3. Flow chart of quantitative analysis method based on BOA-SVR
Fig. 4. Physical image of the sample and XRF spectrometer. (a) Sample; (b) XRF spectrometer
Fig. 5. Sensitivity analysis result of the As element
Fig. 6. Prediction results of the model under different feature dimensions
Fig. 7. Prediction results of Cu element. (a) SVR model with feature dimension reduction; (b) SVR model with all features as inputs; (c) PLS model
Fig. 8. Prediction results of As element. (a) SVR model with feature dimension reduction; (b) SVR model with all features as inputs; (c) PLS model
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Table 1. Prediction results of three models on verification set in Cu element verification
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Table 2. Cu element prediction results obtained by three models
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Table 3. As element prediction results obtained by three models
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