物理情報に基づくニューラルネットワークを用いた複雑な内部構造をもつ物体のモデリング

Name of awarding university/degree: 京都大学,博士(人間・環境学),Doctor of Human and Environmental Studies

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Material Type: 博士論文
Title: 物理情報に基づくニューラルネットワークを用いた複雑な内部構造をもつ物体のモデリング
Author/Editor: Han, Zhongjiang
Author Heading: Han, Zhongjiang
Publication, Distribution, etc.: Kyoto University
Publication Date: 2024-03-25
Publication Date (W3CDTF): 2024-03-25
Alternative Title: Modeling of complex spatial structures using physics-informed neural network
Contributor: 日置, 尋久
立木, 秀樹
櫻川, 貴司
深沢, 圭一郎
小山田, 耕二
Degree grantor/type: 京都大学
Date Granted: 2024-03-25
Dissertation Number: 甲第25366号
Degree Type: 博士(人間・環境学)
Doctor of Human and Environmental Studies
Text Language Code: eng
Subject Heading: Physics-Informed Neural Network
Visualization
Complex Spatial Structures
3d Page Segmentation
Elasticity Problems
NDC: 361
Target Audience: 一般
DOI: 10.14989/doctor.k25366
Access Restrictions: インターネット公開
Rights (production): 学位規則第9条第2項により要約公開
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): 京都大学 : 京都大学学術情報リポジトリ