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A weighted twin support vector machine as a potential discriminant analysis tool and evaluation of its performance for near-infrared spectroscopic discrimination of the geographical origins of diverse agricultural products.

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第一作者： Daeil,Jang

第一单位： Department of Mathematics and Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 133-791, Republic of Korea.

作者： Daeil,Jang ^[1] ; Woosuk,Sohng ^[2] ; Kyungjoon,Cha ^[3] ; Hoeil,Chung ^[4]

作者单位： Department of Mathematics and Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 133-791, Republic of Korea. ^[1] Department of Chemistry and Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 133-791, Republic of Korea. ^[2] Department of Mathematics and Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 133-791, Republic of Korea. Electronic address: kjcha@hanyang.ac.kr. ^[3] Department of Chemistry and Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 133-791, Republic of Korea. Electronic address: hoeil@hanyang.ac.kr. ^[4]

关键词 Agricultural products Geographical origin identification Near-infrared spectroscopy Twin support vector machine Weighted twin support vector machine

主题词农业(Agriculture);判别分析(Discriminant Analysis);地理学(Geography);最小二乘法分析(Least-Squares Analysis);谱学, 近红外线(Spectroscopy, Near-Infrared)

DOI 10.1016/j.talanta.2021.122973

PMID 34736696

发布时间 2021-11-08

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