Journal of Infrared and Millimeter Waves, Volume. 39, Issue 3, 318(2020)
Figures & Tables(6)
Fig. 1. The optimization and selection of parameters n1 and M of the VSPA algorithm
Fig. 2. The optimization and selection of parameter N of the VSPA algorithm
Fig. 3. The optimization and selection of parameter W and α of the VSPA algorithm
Fig. 6. Scatter diagram of real and predicted value of starch content
Table 1. 五种不同方法的淀粉预测结果
View tableView in ArticleTable 1. 五种不同方法的淀粉预测结果
模型 变量数 校正集 预测集 Rc RMSECV Rp RMSEP PLS 700 0.8664 0.2999 0.9335 0.2062 MCUVE-PLS 198 0.9353 0.2018 0.9724 0.1328 CARS-PLS 25 0.9677 0.1475 0.9598 0.1603 BOSS-PLS 20 0.9842 0.1032 0.9870 0.0911 VSPA-PLS 19 0.9957 0.0536 0.9974 0.0409
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Feng ZHANG, Xiao-Jun TANG, Ang-Xin TONG, Bin WANG, Jing-Wei WANG.
Paper Information
Category: Infrared Spectroscopy and Spectral Analysis
Received: Dec. 19, 2019
Accepted: --
Published Online: Jul. 7, 2020
The Author Email: Xiao-Jun TANG (xiaojun_tang@mail.xjtu.edu.cn)
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