Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature

Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature

High temperature severely affects the nature of the ingredients used to produce concrete, which in turn reduces the strength properties of the concrete. It is a difficult and time-consuming task to achieve the desired compressive strength of concrete. However, the application of supervised machine l...

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Bibliographic Details
Main Authors: Ayaz Ahmad, Krzysztof Adam Ostrowski, Mariusz Maślak, Furqan Farooq, Imran Mehmood, Afnan Nafees
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Materials
Subjects:
concrete
compressive strength
high temperature
prediction
decision tree
bagging
Online Access:https://www.mdpi.com/1996-1944/14/15/4222

Internet

https://www.mdpi.com/1996-1944/14/15/4222

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