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MLR & ANN approaches for prediction of compressive strength of alkali activated EAFS
(Techno Press, 2018)
In this study alkali activation of Electric Arc Furnace Slag (EAFS) is studied with a comprehensive test program. Three different silicate moduli (1-1,5-2), three different sodium concentrations (4%-6%-8%) for each silicate ...
Compressive strength prediction models for cementitious composites with fly ash using machine learning techniques
In this study, it was proposed a novel prediction model to predict compressive strength of mortar samples having different properties. For this purpose, 8 different fly ashes were used in mortar mixture as a replacement ...