Concrete Strength Prediction Using Machine Learning Methods CatBoost, k-Nearest Neighbors, Support Vector Regression

Concrete Strength Prediction Using Machine Learning Methods CatBoost, k-Nearest Neighbors, Support Vector Regression

Currently, one of the topical areas of application of machine learning methods in the construction industry is the prediction of the mechanical properties of various building materials. In the future, algorithms with elements of artificial intelligence form the basis of systems for predicting the op...

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Bibliographic Details
Main Authors: Alexey N. Beskopylny, Sergey A. Stel’makh, Evgenii M. Shcherban’, Levon R. Mailyan, Besarion Meskhi, Irina Razveeva, Andrei Chernil’nik, Nikita Beskopylny
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
artificial intelligence
machine learning
regression
CatBoost
k-nearest neighbors
support vector regression
Online Access:https://www.mdpi.com/2076-3417/12/21/10864

Internet

https://www.mdpi.com/2076-3417/12/21/10864

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