Abstract
The discriminant analysis model of different medicinal liquor was established based on Fourier transformed infrared spectroscopy (FT-IR) combined with support vector machine (SVM) and principal component analyses (PCA) with the validation accuracy of 99% and training accuracy of 100%. The model was also tested by the external samples with the prediction accuracy of 97%. The accuracy data of the experimental showed that Fourier transform infrared spectroscopy (FT-IR) can be applied well for the classification of medicinal liquor.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant No. 21272171).
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Liu, Y., Wang, F., Shao, C., You, W., Chen, Q., Dai, Y. (2019). Discriminant Analysis of Different Kinds of Medicinal Liquor Based on FT-IR Spectroscopy. In: Deng, K., Yu, Z., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2018. Advances in Intelligent Systems and Computing, vol 856. Springer, Cham. https://doi.org/10.1007/978-3-030-00214-5_98
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DOI: https://doi.org/10.1007/978-3-030-00214-5_98
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