Disruption Prediction by Support Vector Machine and Neural Network with Exhaustive Search

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Summary, etc.：: A disruption is an event in which the plasma current suddenly shuts down in a tokamak reactor. Establishing methods to predict, mitigate, and avoid di...

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Material Type: 文書・図像類
Title: Disruption Prediction by Support Vector Machine and Neural Network with Exhaustive Search
Author/Editor: 横山達也
末吉孝充
三善, 悠矢
日渡, 良爾
五十嵐康彦
岡田真人
小川雄一
三善悠矢
日渡良爾
Author Heading: 横山達也
末吉孝充
三善, 悠矢
日渡, 良爾
五十嵐康彦
岡田真人
小川雄一
三善悠矢
日渡良爾
Publication Date: 2017-12-06
Publication Date (W3CDTF): 2017-12-06
Text Language Code: eng
Target Audience: 一般
Note (General): The 26th International Toki Conference
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 国立研究開発法人量子科学技術研究開発機構 : 量子科学技術研究開発機構学術機関リポジトリ