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J-GLOBAL ID：201902230023016985   Reference number：19A1819706

Forecasting Climatic Trends Using Neural Networks: An Experimental Study Using Global Historical Data

ニューラルネットワークを用いた気候傾向の予測:地球史データを用いた実験的研究【JST・京大機械翻訳】

Author (3)： Ise Takeshi (Field Science Education and Research Center (FSERC), Kyoto University, Kyoto, Japan) ,  Ise Takeshi (Japan Science and Technology Agency (JST), Kawaguchi, Japan) ,  Oba Yurika (Field Science Education and Research Center (FSERC), Kyoto University, Kyoto, Japan)
Material： Frontiers in Robotics and AI (Web)
Volume： 6  Page： 32  Publication year： 2019 
JST Material Number： U7099A  ISSN： 2296-9144  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Climate change is undoubtedly ...

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Thesaurus term： climatic variation ,  artificial intelligence ,  *neural network(biomodel) ,  *forecast ,  *geological history ,  general circulation model ,  prediction technique ,  image ,  climatic zone ,  *climate
Semi thesaurus term： 予測精度 ,  畳込みニューラルネットワーク ,  現象論 ,  ボトムアップ ,  気候予報 , 【Automatic Indexing@JST】

Author keywords (8)： climate change ,  neural networks ,  big data ,  historical data ,  NVIDIA DIGITS ,  top-down approach ,  graphical image classification ,  global environmental change

JST classification (1)： Motion and control of robots  (IC04012J)

Reference (16)：

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Terms in the title (6)： ニューラルネットワーク ,  気候 ,  傾向 ,  予測 ,  地球史 ,  実験的研究