Ying-rui GENG, Huan-chao SHEN, Hong-fei NI, Yong CHEN, Xue-song LIU. Support Vector Machine Optimized by Near-Infrared Spectroscopic Technique Combined With Grey Wolf Optimizer Algorithm to Realize Rapid Identification of Tobacco Origin[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2830
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 9, 2830 (2022)
Fig. 1. Raw NIR spectra of tobacco leaf samples
Fig. 2. CARS variable screening results
(a): Number of wavelengths changed with sampling runs; (b): RMSECV changed with sampling runs; (c): Variable coefficient changed with sampling runs
(a): Number of wavelengths changed with sampling runs; (b): RMSECV changed with sampling runs; (c): Variable coefficient changed with sampling runs
Fig. 3. RF variable screening results
Fig. 4. Confusion matrices of different classification models
(a): RF-PSO-SVM; (b): RF-GA-SVM; (c): RF-GWO-SVM
(a): RF-PSO-SVM; (b): RF-GA-SVM; (c): RF-GWO-SVM
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Table 1. Training and testing sample sizes of tobacco from different regions
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Table 2. Classification effects of different models
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