Experimental and Modelling of Alkali-Activated Mortar Compressive Strength Using Hybrid Support Vector Regression and Genetic Algorithm

Experimental and Modelling of Alkali-Activated Mortar Compressive Strength Using Hybrid Support Vector Regression and Genetic Algorithm

This paper presents the outcome of work conducted to develop models for the prediction of compressive strength (CS) of alkali-activated limestone powder and natural pozzolan mortar (AALNM) using hybrid genetic algorithm (GA) and support vector regression (SVR) algorithm, for the first time. The deve...

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Bibliographic Details
Main Authors: Khaled A. Alawi Al-Sodani, Adeshina Adewale Adewumi, Mohd Azreen Mohd Ariffin, Mohammed Maslehuddin, Mohammad Ismail, Hamza Onoruoiza Salami, Taoreed O. Owolabi, Hatim Dafalla Mohamed
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Materials
Subjects:
compressive strength
natural pozzolan
genetic algorithm
limestone powder
support vector regression
Online Access:https://www.mdpi.com/1996-1944/14/11/3049

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