Spectroscopy and Spectral Analysis, Volume. 41, Issue 2, 473(2021)
Merging MIR and NIR Spectral Data for Flavor Style Determination
Figures & Tables(5)
Fig. 2. (a)The first derivative MIR spectra and (b)The first derivative NIR spectra
Fig. 3. (a) PCA projection plot based on MIR; (b) PCA projection plot based on NIR and (c) PCA projection plot based on MIR and NIR
Fig. 4. (a) PCA projection plot based on 34 varieties; (b) PCA projection plot based on 24 varieties and (c) PCA projection plot based on 19 varieties
Table 1. The accuracies of the SVC
View tableView in ArticleTable 1. The accuracies of the SVC
建模结果 留一法结果 预报结果 清香型 中间香型 浓香型 准确率/% 清香型 中间香型 浓香型 准确率/% 清香型 中间香型 浓香型 准确率/% 清香型 60 3 1 93.75 58 4 2 90.63 15 2 0 88.24 中间香型 2 35 1 92.11 4 33 1 86.84 1 6 0 85.71 浓香型 2 2 45 91.84 2 4 43 87.76 1 1 12 85.71 整体准确率/% 92.72 88.74 86.84
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Yun-fei SHA, Wen HUANG, Liang WANG, Tai-ang LIU, Bao-hua YUE, Min-jie LI, Jing-lin YOU, Jiong GE, Wen-yan XIE. Merging MIR and NIR Spectral Data for Flavor Style Determination[J]. Spectroscopy and Spectral Analysis, 2021, 41(2): 473
Paper Information
Category: Research Articles
Received: Feb. 17, 2020
Accepted: Jun. 23, 2020
Published Online: Apr. 8, 2021
The Author Email: SHA Yun-fei (shayf@sh.tobacco.com.cn)
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