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Toplam kayıt 3, listelenen: 1-3
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 ...
Prediction of footing settlements with geogrid reinforcement and eccentricity
(ICE Publishing, 2019)
This study presents settlement predictions for footings with geogrid reinforcement and biaxial eccentricity using multi-linear regression (MLR) and artificial neural network (ANN) methods. The effects of central, uniaxial ...
Compressive strength prediction models for cementitious composites with fly ash using machine learning techniques
(Elsevier, 2021)
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 ...