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Neural Network Data Analysis in the Large Helical Device Thomson Scattering System
http://hdl.handle.net/10655/00013337
http://hdl.handle.net/10655/0001333778bf2d23-ce1f-42ae-9291-1f1a3d3f759a
名前 / ファイル | ライセンス | アクション |
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13224_PFR (446.2 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2022-07-05 | |||||
タイトル | ||||||
タイトル | Neural Network Data Analysis in the Large Helical Device Thomson Scattering System | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Thomson scattering, Large Helical Device (LHD) | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | neural network method | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | real-time data analysis | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | electron temperature | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | error estimation | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
YAMADA, Ichihiro
× YAMADA, Ichihiro× FUNABA, Hisamichi× LEE, Jong-ha× HUANG, Yuan× LIU, Chunhua |
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著者ID | ||||||
内容記述タイプ | Other | |||||
内容記述 | 0000-0002-7023-1539 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In Thomson scattering diagnostics systems, a combination of the lookup table and the minimum χ2 methods has been widely used to determine electron temperature. The concept of the minimum χ2 method is based on clearly defined mathematical statistics. However, the minimum χ2 method calculation requires a large amount of time because all χ2 values have to be calculated at all temperatures included in the lookup table. Thus, this method is unsuitable for the real-time data analysis required for the next generation of fusion devices, e.g., the International Thermonuclear Experimental Reactor in France. To establish real-time data analysis for Thomson scattering diagnostics, we have developed a neural network program for the large helical device (LHD) Thomson scattering (TS) system. First, we systematically studied the number of nodes and training cycles required to obtain satisfactory results, and then applied them to the LHD TS system. The calculation time was successfully reduced by approximately 1/50 - 1/100 of the χ2 method calculation time. In addition, experimental error estimation has been performed according to the concept of the neural network method used in this study. | |||||
書誌情報 |
Plasma and Fusion Research 巻 17, 号 Special Issue 1, p. 2402061, 発行日 2022-06-22 |
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書誌的事項 | ||||||
the 30th International Toki Conference on Plasma and Fusion Research (ITC30) | ||||||
出版者 | ||||||
出版者 | The Japan Society of Plasma Science and Nuclear Fusion Research | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1880-6821 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA12346675 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1585/pfr.17.2402061 | |||||
権利 | ||||||
権利情報 | (c) 2022 The Japan Society of Plasma Science and Nuclear Fusion Research | |||||
関連サイト | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1585/pfr.17.2402061 | |||||
関連名称 | Publisher version | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
NAIS | ||||||
13224 |