Exploration of the Identification on traditional Chinese Medicinal Materials based on infrared spectral characteristics

Zhang, Qiang; Hu, Yanhan; Zheng, Yangyang; Lei, Man‐Kit; Wang, Yi

doi:10.1109/itaic54216.2022.9836505

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2023

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“…In [2], the authors identified the CMM most frequently used in medicinal diets and to provide an updated view of the current situation of medicinal diets in China. About other research, one can see [3][4][5][6][7][8][9][10][11] .In this paper, we use the cluster analysis and establish a mathematical model to classify the given Chinese medicinal materials.…”

Section: Introductionmentioning

confidence: 99%

Identification of Chinese medicinal materials based on cluster analysis

Jiang¹

2023

International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022)

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In this paper, through the analysis of the mid infrared spectrum data of Chinese medicinal materials, we establish a mathematical model to classify the given Chinese medicinal materials, analyze the characteristics and differences of the medicinal materials from different places, and identify the origin of the medicinal materials. Based on the near-infrared and mid infrared data, we identify the origin of a kind of medicinal material. Moreover, according to the near infrared spectrum data of several medicinal materials, we identify the classification and origin of medicinal materials.

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Section: Introductionmentioning

confidence: 99%

Identification of Chinese medicinal materials based on cluster analysis

Jiang¹

2023

International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022)

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Exploration of the Identification on traditional Chinese Medicinal Materials based on infrared spectral characteristics

Cited by 1 publication

References 0 publications

Identification of Chinese medicinal materials based on cluster analysis

Identification of Chinese medicinal materials based on cluster analysis

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