Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods
Machine learning methods have been successfully applied to many engineering disciplines.Prediction of the concrete compressive strength (fc) and slump (S) is important in terms of the desirability of concrete and its sustainability.The goals of this study were (i) to determine the most successful normalization technique for the datasets, (ii) to se