Integration of Artificial Neural Network Modeling and Hyperspectral Data Preprocessing for Discrimination of<i> Colla Corii Asini</i> Adulteration

<div>AGL of samples adulterated with PSG in the range of 0–95% corresponding to the first CW of 695 nm (a), 694 nm (b), 934 nm (c), and 934 nm (d) for different preprocessing (no preprocessing, MSC, SG, and MSC-SG).</div>

Journal of Food Quality

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Figure 6

Figure 6: Integration of Artificial Neural Network Modeling and Hyperspectral Data Preprocessing for Discrimination of<i> Colla Corii Asini</i> Adulteration 

Figure 6 | Integration of Artificial Neural Network Modeling and Hyperspectral Data Preprocessing for Discrimination of Colla Corii Asini Adulteration 