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

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

The main purpose of this study is to predict the time-dependent strength of BOF slag-treated dredged soil using four machine learning (ML) algorithms (random forests, multi-layer perceptron, support vector regression, k-nearest neighbors). These models were trained using a dataset developed from the...

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Bibliographic Details
Main Authors: Gyeong-o Kang, Jaehyun Seo, Seongkyu Chang
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Developments in the Built Environment
Subjects:
BOF slag
Dredged clay
Time-dependent strength
Prediction
Machine learning algorithm
Empirical equation
Online Access:http://www.sciencedirect.com/science/article/pii/S266616592400005X

Internet

http://www.sciencedirect.com/science/article/pii/S266616592400005X

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