A Comprehensive Investigation of the Application of Machine Learning Models to Predict Concrete Strength

Wenhao Wang

2024

Abstract

Concrete is one of the mainstream building materials, so the strength of concrete has an important impact on the development of the world. This paper mainly shows some mainstream methods of machine learning models for predicting concrete strength. On the basis of various predicting concrete strength by machine learning models are analyzed, and the problems of overfitting and possible future development directions of a single machine learning model are discussed. Then, supervised learning modes, such as using Artificial Neural Network (ANN) models to supervise a single machine learning model, can effectively reduce the incidence of overfitting. However, machine learning models face many challenges in predicting concrete strength because the raw data of concrete is difficult to integrate and standardize. With the development and widespread use of expert systems, it may be possible to solve these problems in the future by allowing a variety of related professionals to work together to complete studies using machine learning to predict the strength of concrete.

Paper Citation

in Harvard Style

Wang W. (2024). A Comprehensive Investigation of the Application of Machine Learning Models to Predict Concrete Strength. In Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM; ISBN 978-989-758-738-2, SciTePress, pages 358-361. DOI: 10.5220/0013331200004558

in Bibtex Style

@conference{mlscm24,
author={Wenhao Wang},
title={A Comprehensive Investigation of the Application of Machine Learning Models to Predict Concrete Strength},
booktitle={Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM},
year={2024},
pages={358-361},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013331200004558},
isbn={978-989-758-738-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM
TI - A Comprehensive Investigation of the Application of Machine Learning Models to Predict Concrete Strength
SN - 978-989-758-738-2
AU - Wang W.
PY - 2024
SP - 358
EP - 361
DO - 10.5220/0013331200004558
PB - SciTePress