Li-qi WANG, Jing YAO, Rui-ying WANG, Ying-shu CHEN, Shu-nian LUO, Wei-ning WANG, Yan-rong ZHANG. Research on Detection of Soybean Meal Quality by NIR Based on PLS-GRNN[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1433
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 5, 1433 (2022)
Fig. 1. Near infrared spectra of soybean meal samples
Fig. 2. iPLS modeling results of 20 subintervals for moisture
Fig. 3. iPLS modeling results of 20 subintervals for protein
Fig. 4. iPLS modeling results of 20 subintervals for fat
Fig. 5. Structure of GRNN
Fig. 6. The changing trends of PRESS with the major factors
Fig. 7. Optimizing curves of spread
Fig. 8. Predictive effects of PLS-GRNN models for moisture, protein and fat
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Table 1. Comparison of statistical results of various noise reduction methods
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Table 2. Modeling results of two sample set partitioning methods
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Table 3. Sample partition results
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Table 4. iPLS waveband selection results of moisture for different subinterval number
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Table 5. iPLS waveband selection results of protein for different subinterval number
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Table 6. iPLS waveband selection results of fat for different subinterval number
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Table 7. Comparison of modeling effects between PLS-GRNN and PLS, BP
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