Art

J-GLOBAL ID：201802263851328557   Reference number：18A1938108

Cooperative enhanced scatter search with opposition-based learning schemes for parameter estimation in high dimensional kinetic models of biological systems

生物学的システムの高次元速度論モデルにおけるパラメータ推定のための位置ベース学習スキームによる協調強化散乱探索【JST・京大機械翻訳】

Author (8)： Remli Muhammad Akmal (Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang, Kuantan, Pahang 26300, Malaysia) ,  Mohamad Mohd Saberi (Institute For Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, City Campus, Pengkalan Chepa, Kota Bharu, Kelantan 16100, Malaysia) ,  Mohamad Mohd Saberi (Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan, Jeli Campus, Lock Bag 100, Jeli, Kelantan 17600, Malaysia) ,  Deris Safaai (Institute For Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, City Campus, Pengkalan Chepa, Kota Bharu, Kelantan 16100, Malaysia) ,  Deris Safaai (Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan, Jeli Campus, Lock Bag 100, Jeli, Kelantan 17600, Malaysia) ,  A Samah Azurah (Artificial Intelligence and Bioinformatics Research Group, School of Computing, Universiti Teknologi Malaysia, Skudai, Johor 81310, Malaysia) ,  Omatu Sigeru (Department of Electronics, Information and Communication Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan) ,  Corchado Juan Manuel (Biomedical Research Institute of Salamanca/BISITE Research Group, University of Salamanca, Calle Espejo s/n, Salamanca 37008, Spain)
Material： Expert Systems with Applications  (Exp Syst Appl)
Volume： 116  Page： 131-146  Publication year： 2019 
JST Material Number： W0178A  ISSN： 0957-4174  Document type： Article
Article type： 原著論文  Country of issue： Netherlands (NLD)  Language： ENGLISH (EN)

Abstract/Point： Industrial bioprocesses develo...

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Thesaurus term： *Learning ,  *parameter ,  Mammalia ,  Bacteria ,  Proteins ,  thread ,  Yeasts ,  *parameter estimation ,  *model ,  metabolite ,  chemical substance ,  *rate theory ,  therapy ,  measurement data ,  in silico ,  Vertebrata ,  microorganism

Author keywords (6)： Parameter estimation ,  Metabolic engineering ,  Kinetic model ,  Opposition-based learning ,  Global optimization ,  Cooperative metaheuristic

JST classification (4)： Cell physiology in general  (EF02010S) ,  Molecular and genetic information processing  (JE15040B) ,  Enzyme in general  (EB09010D) ,  Metabolism and nutrition  (EG03054K)

Terms in the title (11)： 生物学的システム ,  高次元 ,  速度論 ,  モデル ,  パラメータ推定 ,  学習 ,  スキーム ,  協調 ,  強化 ,  散乱 ,  探索