Prediction of Neutralization Depth of R.C. Bridges Using Machine Learning Methods

Prediction of Neutralization Depth of R.C. Bridges Using Machine Learning Methods

Machine learning techniques have become a popular solution to prediction problems. These approaches show excellent performance without being explicitly programmed. In this paper, 448 sets of data were collected to predict the neutralization depth of concrete bridges in China. Random forest was used...

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Bibliographic Details
Main Authors: Kangkang Duan, Shuangyin Cao, Jinbao Li, Chongfa Xu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Crystals
Subjects:
neutralization of concrete
support vector machine
random forest
machine learning
k-nearest neighbor
XGBoost
Online Access:https://www.mdpi.com/2073-4352/11/2/210

Internet

https://www.mdpi.com/2073-4352/11/2/210

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