Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1630001(2021)
Clustering Algorithm Combined with LIF Technology for Wine Identification
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Fig. 2. Spectra of wine sample C under different Vr. (a) Vr in first stage; (b) Vr in second stage
Fig. 4. Spectral comparison for different wine samples at 450--650nm. (a) Samples B and C; (b) samples C and D
Fig. 6. Recognition effects of self-organizing competition network testing set. (a) The third recognition effect; (b) the fifth recognition effect
Table 1. Classification accuracy rates of training and test sets
View tableTable 1. Classification accuracy rates of training and test sets
Set Accuracy rate /% Training 99.34 Test 99.63
Table 2. Performance comparison among clustering algorithms
View tableTable 2. Performance comparison among clustering algorithms
Algorithm Average recognition rate /% K-means algorithm 100 Self-organizing competitive network 99.34 SOM neural network 100
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Mengran Zhou, Cheng Wang, Feng Hu, Wenhao Lai, Kai Bian. Clustering Algorithm Combined with LIF Technology for Wine Identification[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1630001
Paper Information
Category: Spectroscopy
Received: Oct. 19, 2020
Accepted: Dec. 17, 2020
Published Online: Jul. 16, 2021
The Author Email: Cheng Wang (Engr_wangcheng@163.com)
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