Machine Learning-Based Estimation of the Compressive Strength of Self-Compacting Concrete: A Multi-Dataset Study

Machine Learning-Based Estimation of the Compressive Strength of Self-Compacting Concrete: A Multi-Dataset Study

This paper aims at performing a comparative study to investigate the predictive capability of machine learning (ML) models used for estimating the compressive strength of self-compacting concrete (SCC). Seven prominent ML models, including deep neural network regression (DNNR), extreme gradient boos...

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Bibliographic Details
Main Author:	Nhat-Duc Hoang
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Mathematics
Subjects:	self-compacting concrete compressive strength deep neural network gradient boosting machine machine learning
Online Access:	https://www.mdpi.com/2227-7390/10/20/3771

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