Mengran Zhou, Rongying Dai, Chen Yang, Feng Hu, Kai Bian, Wenhao Lai, Xixi Kong. Fast Nondestructive Detection of Edible Oil Based on Fluorescence Spectrum and Stack Autoencoder[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0830001
- Laser & Optoelectronics Progress
- Vol. 59, Issue 8, 0830001 (2022)
Fig. 1. SAE network architecture
Fig. 2. Diagram of experimental equipment for LIF
Fig. 3. Original fluorescence spectra of different edible oil samples. (a) All samples; (b) sample of rapeseed oil; (c) sample of corn oil; (d) sample of peanut oil; (e) mixed oil sample A; (f) mixed oil sample B
Fig. 4. Relationship between number of hidden layers and Softmax classification accuracy
Fig. 5. Effect of hidden layer neurons on ELM performance
Fig. 6. Classification results of spectrum test set processed by SAE
Fig. 7. Effect of hidden layer neurons on ELM performance
Fig. 8. Independent validation of classification results of set
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Table 1. Experimental sample materials
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Table 2. Number of hidden layers in each experimental group
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Table 3. Average classification accuracy and variance under different number of hidden layers
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Table 4. Classification results for different recognition models
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Table 5. Test network time for different recognition models
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