Mengran Zhou, Jinguo Wang, Hongping Song, Feng Hu, Wenhao Lai, Kai Bian. Application of Kernel Extreme Learning Machine and Laser Induction Fluorescence Technique in Edible Oil Identification[J]. Laser & Optoelectronics Progress, 2020, 57(20): 203001
- Laser & Optoelectronics Progress
- Vol. 57, Issue 20, 203001 (2020)
Fig. 1. Oil sample detection experiment system diagram
Fig. 2. Network structure of ELM
Fig. 3. Algorithm flowchart
Fig. 4. Original fluorescence spectra of five oil samples
Fig. 5. Figure of cumulative contribution rate
Fig. 6. Test classification accuracy of MFO algorithm
Fig. 7. Comparison of test classification accuracy of three algorithms
Fig. 8. Statistics of classification accuracy and training time of three models. (a) KELM model; (b) ELM model; (c) BP model
Fig. 9. Comparison of average training time and classification accuracy of three models. (a) Average training time; (b) classification accuracy
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Table 1. Types and parameters of edible oils
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Table 2. Performance comparison of three algorithms
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Table 3. Performance comparison of three classification models
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