文献
J-GLOBAL ID:202202211229679788
整理番号:22A0578815
ハイブリッド機械学習モデルを用いた鋼管拘束コンクリート柱の軸方向強度予測【JST・京大機械翻訳】
Axial strength prediction of steel tube confined concrete columns using a hybrid machine learning model
著者 (5件):
Ngo Ngoc-Tri
(Faculty of Project Management, The University of Danang - University of Science and Technology, 54 Nguyen Luong Bang, Danang City, Viet Nam)
,
Pham Thi-Phuong-Trang
(Department of Civil Engineering, The University of Danang - University of Technology and Education, 48 Cao Thang Street, Danang City, Viet Nam)
,
Le Hoang An
(NTT Hi-Tech Institute, Nguyen Tat Thanh University, Hochiminh City, Viet Nam)
,
Nguyen Quang-Trung
(Faculty of Project Management, The University of Danang - University of Science and Technology, 54 Nguyen Luong Bang, Danang City, Viet Nam)
,
Nguyen Thi-Thao-Nguyen
(Faculty of Project Management, The University of Danang - University of Science and Technology, 54 Nguyen Luong Bang, Danang City, Viet Nam)
資料名:
Structures
(Structures)
巻:
36
ページ:
765-780
発行年:
2022年
JST資料番号:
W3039A
ISSN:
2352-0124
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)