Predicting the Compressive Strength of Rubberized Concrete Using Artificial Intelligence Methods

In this study, support vector machine (SVM) and Gaussian process regression (GPR) models were employed to analyse different rubbercrete compressive strength data collected from the literature. The compressive strength data at 28 days ranged from 4 to 65 MPa in reference to rubbercrete mixtures, wher...

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Bibliographic Details
Main Authors: Amedeo Gregori, Chiara Castoro, Giri Venkiteela
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/14/7729