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J-GLOBAL ID：201702239336783158   Reference number：17A0536320

Modelling Research of the Selenium Enrichment by Bacillus subtilis Base on Artificial Neural Network

ニューラルネットワークによる枯草菌のセレン濃縮過程のモデリングに関する研究【JST・京大機械翻訳】

Author (8)： Zhou Mengzhou (Hubei University of Technology, Department of Biological Engineering and Food Science) ,  Wu Shan (Hubei University of Technology, Department of Biological Engineering and Food Science) ,  Liu Nian (Hubei University of Technology, Department of Biological Engineering and Food Science) ,  Wang Chao (Hubei University of Technology, Department of Biological Engineering and Food Science) ,  Xu Ning (Hubei University of Technology, Department of Biological Engineering and Food Science) ,  Hu Yong (Hubei University of Technology, Department of Biological Engineering and Food Science) ,  Shi Wenbo (Hubei Province Acrereed Inspection Company Limited) ,  Li Dongsheng (Hubei University of Technology, Department of Biological Engineering and Food Science)
Material： Zhongguo Shipin Xuebao
Volume： 16  Issue： 12  Page： 66-74  Publication year： 2016 
JST Material Number： C2780A  ISSN： 1009-7848  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： The aim of this study was to i...

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Thesaurus term： *selenium ,  optimization ,  *network ,  *modeling ,  support program ,  sensitivity analysis ,  neural network (network) ,  *neural network (biomodel) ,  genetic algorithm ,  Sodium Chloride ,  Biomass ,  response surface methodology ,  *Bacillus subtilis ,  alkaline protease ,  alkalinity ,  modification ,  evolutionary computation ,  *microorganism ,  *Spore-Forming Bacteria

Author keywords (5)： artificial neural network ,  Bacillus subtilis ,  enrichment of selenium ,  response surface ,  optimization

JST classification (1)： Artificial intelligence  (JE08000Z)

Terms in the title (6)： ニューラルネットワーク ,  枯草菌 ,  セレン ,  濃縮過程 ,  モデリング ,  研究