文献
J-GLOBAL ID:202002278479484127
整理番号:20A1552277
アクティブラーニングを用いた小規模データセットからのエポキシ接着剤強度の予測と最適化
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
著者 (8件):
Pruksawan Sirawit
(Data-driven Polymer Design Group, Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), Tsukuba, Japan)
,
Pruksawan Sirawit
(Program in Materials Science and Engineering, Graduate School of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan)
,
Lambard Guillaume
(Energy Materials Design Group, Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), Tsukuba, Japan)
,
Samitsu Sadaki
(Data-driven Polymer Design Group, Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), Tsukuba, Japan)
,
Sodeyama Keitaro
(Energy Materials Design Group, Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), Tsukuba, Japan)
,
Naito Masanobu
(Data-driven Polymer Design Group, Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), Tsukuba, Japan)
,
Naito Masanobu
(Program in Materials Science and Engineering, Graduate School of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan)
,
Naito Masanobu
(Department of Advanced Materials Science, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan)
資料名:
Science and Technology of Advanced Materials (Web)
(Science and Technology of Advanced Materials (Web))
巻:
20
号:
1
ページ:
1010-1021
発行年:
2019年
JST資料番号:
U7009A
ISSN:
1878-5514
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)