プラズマ実験解析・制御へのニューラルネットワークの応用 Applications of Neural Networks to Data Analysis and Control of Fusion Plasma

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抄録

Applications of neural networks to data analysis and control of fusion plasmas are reviewed. First, a brief introduction to the general features of a neural network is presented, where the neural network is considered as a continuous mapping device, a classification device, a statistical processing device, and a time series predicition device. Then, the applications of neural networks to the research field are explained where the problems to be solved are classified a sfitting function, shaping an experimentally obtained spectrum, analyzing equilibrium quantity, prediction, tomography, and control problems. Throughout the article, we restrict ourselves to description of applications of multi-layer neural networks.

収録刊行物

  • プラズマ・核融合学会誌 = Journal of plasma and fusion research

    プラズマ・核融合学会誌 = Journal of plasma and fusion research 78(9), 842-856, 2002-09-25

    社団法人 プラズマ・核融合学会

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各種コード

  • NII論文ID(NAID)
    10009629744
  • NII書誌ID(NCID)
    AN10401672
  • 本文言語コード
    JPN
  • 資料種別
    REV
  • ISSN
    09187928
  • NDL 記事登録ID
    6310835
  • NDL 雑誌分類
    ZM35(科学技術--物理学)
  • NDL 請求記号
    Z15-8
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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