Qi CHEN, Tian-hong PAN, Yu-qiang LI, Hong LIN. Geographical Origin Discrimination of Taiping Houkui Tea Using Convolutional Neural Network and Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(9): 2776
- Spectroscopy and Spectral Analysis
- Vol. 41, Issue 9, 2776 (2021)
Fig. 1. Feature selection process of 1-D CNN
Fig. 2. Spectra of Taiping Houkui tea
(a): Original data; (b): Preprocessed data
(a): Original data; (b): Preprocessed data
Fig. 3. Loss function values of training set for different 1-D CNN structure
Fig. 4. CIR of different convolution kernel sizes
Fig. 5. Model structure of 1-D CNN model
Fig. 6. Prediction results of 1-D CNN model
Fig. 7. Spectral feature distribution
(a): Original spectrum; (b): First convolutional layer; (c): Second convolutional layer; (d): Third convolutional layer
(a): Original spectrum; (b): First convolutional layer; (c): Second convolutional layer; (d): Third convolutional layer
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Table 1. Sample information
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Table 2. Prediction results with different sampling intervals
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Table 3. CIR of different convolution kernel number
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Table 5. Comparison of Monte Carlo experimental results
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