Applied study of feature extraction using exhaustive search on high-beta disruption in JT-60U

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Summary, etc.：: Likelihood of high-beta disruption has been discussed from feature extraction using exhaustive search. A support vector machine (SVM) [1] has been use...

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Material Type: 文書・図像類
Title: Applied study of feature extraction using exhaustive search on high-beta disruption in JT-60U
Author/Editor: Yokoyama, Tatsuya
Miyoshi, Yuuya
Hiwatari, Ryoji
Isayama, Akihiko
Matsunaga, Go
Oyama, Naoyuki
Igarashi, Yasuhiko
Okada, Masato
Imagawa, Naoto
Ogawa, Yuichi
Author Heading: Yokoyama, Tatsuya
Miyoshi, Yuuya
Hiwatari, Ryoji
Isayama, Akihiko
Matsunaga, Go
Oyama, Naoyuki
Igarashi, Yasuhiko
Okada, Masato
Imagawa, Naoto
Ogawa, Yuichi
Miyoshi, Yuuya
Hiwatari, Ryoji
Isayama, Akihiko
Matsunaga, Go
Oyama, Naoyuki
Publication Date: 2019-11-07
Publication Date (W3CDTF): 2019-11-07
Text Language Code: eng
Target Audience: 一般
Note (General): 3rd Asia-Pacific Conference on Plasma Physics
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