Prediction of Compressive Strength of Fly-Ash-Based Concrete Using Ensemble and Non-Ensemble Supervised Machine-Learning Approaches

Prediction of Compressive Strength of Fly-Ash-Based Concrete Using Ensemble and Non-Ensemble Supervised Machine-Learning Approaches

The utilization of waste material, such as fly ash, in the concrete industry will provide a valuable alternative solution for creating an eco-friendly environment. However, experimental work is time-consuming; employing soft machine learning techniques can accelerate the process of forecasting the s...

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Bibliographic Details
Main Authors: Yang Song, Jun Zhao, Krzysztof Adam Ostrowski, Muhammad Faisal Javed, Ayaz Ahmad, Muhammad Ijaz Khan, Fahid Aslam, Roman Kinasz
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
fly ash
concrete
ensemble modeling
cross-validation
python
Online Access:https://www.mdpi.com/2076-3417/12/1/361

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https://www.mdpi.com/2076-3417/12/1/361

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