Dapeng Wen, Xiyin Liang, Maogen Su, Fuchun Yang, Tianchen Zhang, Ruilin Chen, Meng Wu. Classification of Ores Using Laser-Induced Breakdown Spectroscopy Combined with PCA-PSO-SVM[J]. Laser & Optoelectronics Progress, 2021, 58(23): 2314006
- Laser & Optoelectronics Progress
- Vol. 58, Issue 23, 2314006 (2021)
Fig. 1. Flow of PSO-SVM classification model
Fig. 2. LIBS spectra of 12 types of ore samples
Fig. 3. LIBS spectra of U ore. (a) Original spectrum; (b) spectrum after preprocessing
Fig. 4. PCA analysis results of LIBS data for 12 types of ores. (a) Each principal component score and the cumulative score of principal components; (b) three-dimensional scatter plot of the first three principal components
Fig. 5. PCA-PSO-SVM recognition results on 12 types of ores. (a) PSO optimizing results; (b) PCA-PSO-SVM recognition results
Fig. 6. Comparison of number of errors in ore classification by three classification models
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Table 1. Ore category information in the dataset
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Table 2. PSO-SVM recognition results with different input variables
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Table 3. Recognition results of three classification models
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