Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
Abstract
Ternary-blend concrete is a complex composite material, and the nonlinearity in its compressive strength behavior is unquestionable. Entirely many models have been developed to accurately predict the ternary-blend concrete compressive strength, such as ANN, SVM, random forest, decision tree, to mention but a few. This study underscores the better predictive performance and successful application of the least square support vector machine...
Paper Details
Title
Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
Published Date
Sep 1, 2021
Volume
301
Pages
124152 - 124152
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