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| File | Description | Size | Format | |
|---|---|---|---|---|
| gnink01109.pdf | Digest_要約 | 111.66 kB | Adobe PDF | View/Open |
| ynink01109.pdf | Abstract_要旨 | 194.54 kB | Adobe PDF | View/Open |
| Title: | Improving efficiency and quality on modeling 3D plasma shape in FFHR by introducing Neural Networks |
| Other Titles: | ニューラルネットワークを用いるFFHRにおける三次元プラズマ形状のモデリングの効率と質の向上 |
| Authors: | Hu, Kunqi |
| Keywords: | Plasma shape Magnetic field line tracing Neural networks Interference inspection 3D modeling |
| Issue Date: | 25-Mar-2024 |
| Publisher: | Kyoto University |
| Conferring University: | 京都大学 |
| Degree Level: | 新制・課程博士 |
| Degree Discipline: | 博士(人間・環境学) |
| Degree Report no.: | 甲第25367号 |
| Degree no.: | 人博第1109号 |
| Conferral date: | 2024-03-25 |
| Degree Call no.: | 新制||人||259(附属図書館) |
| Degree Affiliation: | 京都大学大学院人間・環境学研究科共生人間学専攻 |
| Examination Committee members: | (主査)教授 日置 尋久, 教授 立木 秀樹, 准教授 DE BRECHTMatthew, 教授 下田 宏, 教授 小山田 耕二 |
| Provisions of the Ruling of Degree: | 学位規則第4条第1項該当 |
| Rights: | 学位規則第9条第2項により要約公開 |
| DOI: | 10.14989/doctor.k25367 |
| URI: | http://hdl.handle.net/2433/288801 |
| Appears in Collections: | 110 Doctoral Dissertation (Human and Environmental Studies) |
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