Figures & data
Table 1 Prediction results for unknown samples by BP neural network model
Figure 5 First five principal components calculated from the Shatangju spectral curve in the training set of PCA model.
![Figure 5 First five principal components calculated from the Shatangju spectral curve in the training set of PCA model.](/cms/asset/19351ee7-6a6e-45f8-a3d7-e9eda488a75d/ljfp_a_299465_o_f0005g.gif)
Figure 6 First five principal components calculated from the Huangyanbendizao orange spectral curve in the training set of PCA model.
![Figure 6 First five principal components calculated from the Huangyanbendizao orange spectral curve in the training set of PCA model.](/cms/asset/972256d0-9cd6-4b7a-910e-c87acad511a3/ljfp_a_299465_o_f0006g.gif)
Figure 7 Loadings of first five principal components from the Shatangju across the entire spectral region.
![Figure 7 Loadings of first five principal components from the Shatangju across the entire spectral region.](/cms/asset/4b5b10d7-ccc3-4549-b944-c5482a4c78e6/ljfp_a_299465_o_f0007g.gif)
Figure 8 Loadings of first five principal components from the Huangyanbendizao across the entire spectral region.
![Figure 8 Loadings of first five principal components from the Huangyanbendizao across the entire spectral region.](/cms/asset/09211369-df93-4469-8280-9c462a2262f3/ljfp_a_299465_o_f0008g.gif)