Art

J-GLOBAL ID：202102211951324385   Reference number：21A0874007

An Optimal Stacked Ensemble Deep Learning Model for Predicting Time-Series Data Using a Genetic Algorithm-An Application for Aerosol Particle Number Concentrations

遺伝的アルゴリズムを用いた時系列データを予測するための最適スタックアンサンブル深層学習モデル-エーロゾル粒子数濃度への適用【JST・京大機械翻訳】

Author (8)： Surakhi Ola M. (Department of Computer Science, The University of Jordan, Amman 11942, Jordan) ,  Zaidan Martha Arbayani (Institute for Atmospheric and Earth System Research (INAR/Physics), University of Helsinki, FI-00014 Helsinki, Finland) ,  Zaidan Martha Arbayani (Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China) ,  Serhan Sami (Department of Computer Science, The University of Jordan, Amman 11942, Jordan) ,  Salah Imad (Department of Computer Science, The University of Jordan, Amman 11942, Jordan) ,  Hussein Tareq (Institute for Atmospheric and Earth System Research (INAR/Physics), University of Helsinki, FI-00014 Helsinki, Finland) ,  Hussein Tareq (Department Material Analysis and Indoor Chemistry, Fraunhofer WKI, D-38108 Braunschweig, Germany) ,  Hussein Tareq (Department of Physics, The University of Jordan, Amman 11942, Jordan)
Material： Computers (Web)
Volume： 9  Issue： 4  Page： 89  Publication year： 2020 
JST Material Number： U7165A  ISSN： 2073-431X  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Time-series prediction is an i...

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Thesaurus term： *aerosol(suspended solids) ,  memory(computer) ,  optimization ,  database ,  neural network(biomodel) ,  robustness ,  machine learning ,  *genetic algorithm ,  prediction model
Semi thesaurus term： *時系列データ ,  時系列予測 ,  アンサンブル学習 ,  予測精度 ,  *深層学習 , 【Automatic Indexing@JST】

Author keywords (4)： ensemble learning ,  heuristic algorithm ,  optimization ,  recurrent neural network

JST classification (1)： Artificial intelligence  (JE08000Z)

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Terms in the title (9)： 遺伝的アルゴリズム ,  時系列データ ,  予測 ,  スタック ,  アンサンブル ,  深層学習 ,  モデル ,  エーロゾル粒子 ,  数濃度