Super learner machine‐learning algorithms for compressive strength prediction of high performance concrete
Autor(en): |
Seunghye Lee
(Deep Learning Architecture Research Center, Department of Architectural Engineering Sejong University Seoul Republic of Korea)
Ngoc‐Hien Nguyen (CIRTech Institute, HUTECH University Ho Chi Minh City Vietnam) Armagan Karamanli (Faculty of Engineering and Natural Sciences, Mechanical Engineering Istinye University Istanbul Turkey) Jaehong Lee (Deep Learning Architecture Research Center, Department of Architectural Engineering Sejong University Seoul Republic of Korea) Thuc P. Vo (School of Computing, Engineering and Mathematical Sciences La Trobe University Bundoora Victoria Australia) |
---|---|
Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Concrete, April 2023, n. 2, v. 24 |
Seite(n): | 2208-2228 |
DOI: | 10.1002/suco.202200424 |
- Über diese
Datenseite - Reference-ID
10685384 - Veröffentlicht am:
13.08.2022 - Geändert am:
02.09.2023