Compressive Strength Prediction of Fly Ash Concrete Using Machine Learning Techniques

Compressive Strength Prediction of Fly Ash Concrete Using Machine Learning Techniques

It is time-consuming and uneconomical to estimate the strength properties of fly ash concrete using conventional compression experiments. For this reason, four machine learning models—extreme learning machine, random forest, original support vector regression (SVR), and the SVR model optimized by a...

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Bibliographic Details
Main Authors: Yimin Jiang, Hangyu Li, Yisong Zhou
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Buildings
Subjects:
grid search
support vector regression
fly ash concrete
machine learning
random forest model
Online Access:https://www.mdpi.com/2075-5309/12/5/690

Internet

https://www.mdpi.com/2075-5309/12/5/690

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