Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4911595 | Case Studies in Construction Materials | 2017 | 8 Pages |
Abstract
Support vector machine model was proposed and developed for the prediction of concrete compressive strength at early age. The variables used in the prediction models were from the knowledge of the mix proportion elements and 7-day compressive strength. The models provide good estimation of compressive strength and yielded good correlations with the data used in this study relative to nonlinear multivariable regression. Moreover, the SVM model proved to be significant tool in prediction compressive strength of lightweight foamed concrete with minimal mean square errors and standard deviation.
Related Topics
Physical Sciences and Engineering
Engineering
Civil and Structural Engineering
Authors
Abbas M. Abd, Suhad M. Abd,