Art

J-GLOBAL ID：201702261003254628   Reference number：17A0061047

Model for Modified Spent Grains Adsorption As(III) Ions With Feature Extraction

特徴抽出のための改性麦糟吸型イオンモデル【JST・京大機械翻訳】

Author (4)： Liang Liming (School of Electrical Engineering and Automation, Jiangxi University of Science and Technology) ,  Wu Jian (School of Electrical Engineering and Automation, Jiangxi University of Science and Technology) ,  Chen Zhaoyang (School of Electrical Engineering and Automation, Jiangxi University of Science and Technology) ,  Zhu Sha (School of Electrical Engineering and Automation, Jiangxi University of Science and Technology)
Material： Beijing Gongye Daxue Xuebao  (Journal of Beijing University of Technology)
Volume： 42  Issue： 9  Page： 1294-1300  Publication year： 2016 
JST Material Number： C2401A  ISSN： 0254-0037  CODEN： BGDXD6  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： Exploring the optimum conditio...

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Thesaurus term： partial least squares method ,  Structure-Activity Relationship ,  optimum condition ,  Adsorption ,  reaction temperature ,  Principal Component Analysis ,  *feature extraction ,  adsorbent ,  functional group ,  adsorption fraction
Semi thesaurus term： サポートベクトル回帰 ,  非線形次元縮小 , 【Automatic Indexing@JST】

Author keywords (5)： feature extraction ,  modified spent grains ,  principal component analysis ,  manifold learning ,  support vector regress

JST classification (2)： Heavy metals and their compounds in general  (SB05021R) ,  Physical analysis of organic compounds  (CC03034A)

Terms in the title (5)： 特徴抽出 ,  麦 ,  糟 ,  イオン ,  モデル