Super learner machine‐learning algorithms for compressive strength prediction of high performance concrete
Author(s): |
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) |
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Medium: | journal article |
Language(s): | English |
Published in: | Structural Concrete, April 2023, n. 2, v. 24 |
Page(s): | 2208-2228 |
DOI: | 10.1002/suco.202200424 |
- About this
data sheet - Reference-ID
10685384 - Published on:
13/08/2022 - Last updated on:
02/09/2023