Spectroscopy and Spectral Analysis, Volume. 42, Issue 5, 1471(2022)
Research on Data Migration Modeling Method for Bending Strength of Solid Wood Based on SWCSS-GFK-SVM
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Fig. 5. Slave data treated by the S-G and SNV preprocessing methods
Table 1. A comparison of spectrometer equipment parameters
View tableView in ArticleTable 1. A comparison of spectrometer equipment parameters
仪器型号 One-chip NIRQuest512 公司 INSION Ocean Optics 分辨率 <16 nm <3 nm 入口光纤芯径 300 μm 300 μm 光谱波长范围 900~1 850 nm 900~1 700 nm 体积 54 mm×35 mm×21 mm 67 mm×36 mm×22 mm
Table 2. Analysis of modeling results based on different calibration transfer methods
View tableView in ArticleTable 2. Analysis of modeling results based on different calibration transfer methods
模型 校正集
Rc校正集
RMSEC预测集
Rp预测集
RMSEPPDS-PLS 0.939 7.413 0.812 22.374 DS-PLS 0.929 8.332 0.793 18.575 PDS-GFK-SVM 0.975 4.740 0.829 17.853 DS-SWCSS-GFK-SVM 0.973 5.030 0.846 12.509 PDS-SWCSS-GFK-SVM 0.989 3.054 0.875 11.975
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Jin-hao CHEN, Da-peng JIANG, Yi-zhuo ZHANG, Ke-qi WANG. Research on Data Migration Modeling Method for Bending Strength of Solid Wood Based on SWCSS-GFK-SVM[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1471
Paper Information
Category: Research Articles
Received: Apr. 23, 2021
Accepted: --
Published Online: Nov. 10, 2022
The Author Email: Jin-hao CHEN (jinhaochen@vip.sina.com)
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