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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Detalles Bibliográficos
Autores principales: Al-Sodani, Khaled A. Alawi, Adewumi, Adeshina Adewale, Mohd Ariffin, Mohd Azreen, Maslehuddin, Mohammed, Ismail, Mohammad, Salami, Hamza Onoruoiza, Owolabi, Taoreed O., Mohamed, Hatim Dafalla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199965/
https://www.ncbi.nlm.nih.gov/pubmed/34205101
http://dx.doi.org/10.3390/ma14113049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199965/
https://www.ncbi.nlm.nih.gov/pubmed/34205101
http://dx.doi.org/10.3390/ma14113049

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