Application of machine learning algorithm for the estimation of time-dependent strength of basic oxygen furnace slag-treated soil-Reference-Cited by-同舟云学术

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Application of machine learning algorithm for the estimation of time-dependent strength of basic oxygen furnace slag-treated soil

Published:2024-03 Issue: Volume:17 Page:100324
ISSN:2666-1659
Container-title:Developments in the Built Environment
language:en
Short-container-title:Developments in the Built Environment

Author:

Kang Gyeong-o,Seo Jaehyun,Chang Seongkyu^ORCID

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Gwangju University

Publisher

Elsevier BV

Reference29 articles.

1. Predicting the contribution of recycled aggregate concrete to the shear capacity of beams without transverse reinforcement using artificial neural networks;Ababneh;Case Stud. Constr. Mater.,2020

2. Use of steel slag aggregate in asphalt concrete mixes;Asi;Can. J. Civ. Eng.,2007

3. Random forests;Breiman;Mach. Learn.,2001

4. Particle-size effect of basic oxygen furnace steel slag in stabilization of dredged marine clay;Cikmit;Soils Found.,2019

5. Support-vector networks;Cortes;Mach. Learn.,1995

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic concrete slump prediction of concrete batching plant by deep learning;Developments in the Built Environment;2024-04

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