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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-07-01
|
| Series: | Sustainability |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2071-1050/13/14/7729 |