Application of Feature Selection Algorithms to Select Elements that Distinguish Regional Differences in Chinese Grown Winter Jujube Fruit (Zizyphus jujuba Mill. cv. Huanghua Dongzao)

XGBoost, machine-learning algorithms, was applied for the first time to select the minimum number of elements needed to distinguish Huanghua winter jujube fruit (from Hebei Province) from winter jujube grown in other regions of China. Toward this end, ICP/MS and AAS were used to measure the concentr...

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Veröffentlicht in:	Food analytical methods 2021-04, Vol.14 (4), p.653-662
Hauptverfasser:	Tian, Xiaolei, Li, Chao, Wang, Zian, Xia, Liya, Robbat, Albert
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical Chemistry Chemistry Chemistry and Materials Science Chemistry/Food Science Consumer protection Food Science Fraud Fruits Learning algorithms Machine learning Microbiology Support vector machines Winter Ziziphus jujuba
Online-Zugang:	Volltext
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