Xiao-qin LIAN, Qun CHEN, Shen-miao TANG, Jing-zhu WU, Ye-lan WU, Chao GAO. Quantitative Analysis Method of Key Nutrients in Lanzhou Lily Based on NIR and SOM-RBF[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2025

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- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 7, 2025 (2022)

Fig. 1. Vertex70 Fourier transform infrared spectrometer

Fig. 2. NIR spectra of the SG+Detrend method

Fig. 3. NIR spectra of the Detrend method

Fig. 4. SG+Detrend_SPA_PLSR method for the prediction results of protein

Fig. 5. Detrend_SPA_PLSR method for the prediction results of polysaccharide

Fig. 6. SOM neural network structure of protein and polysaccharide

Fig. 7. RBF network topology of protein and polysaccharide
![SOM-RBF prediction algorithm flow chart for protein and polysaccharide[10]](/Images/icon/loading.gif)
Fig. 8. SOM-RBF prediction algorithm flow chart for protein and polysaccharide[10]

Fig. 9. SOM-RBF network prediction results of protein

Fig. 10. SOM-RBF network prediction results of polysaccharide
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Table 1. Basic statistics of Lanzhou lily samples
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Table 2. PLSR modeling results of Lanzhou lily protein using the spectra pretreated by different methods
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Table 3. PLSR modeling results of Lanzhou lily polysaccharide using the spectra pretreated by different methods
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Table 4. Comparison of PLSR modeling results based on CARS, SPA and PCA methods
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Table 5. Comparison of modeling results between PLSR and SOM-RBF prediction models

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