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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
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Series: | Buildings |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-5309/12/5/690 |