Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network

By Umit Atici. Expert systems with applications, 2011

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Prediction of self-compacting concrete strength using artificial neural networks (2016, background): “…literature includes mainly publications concerning the application of ANNs for the prediction of the compressive strength and modulus of elasticity (Atici, 2011; Cladera & Marí, 2004; Dias & Pooliyadda, 2001; González-Taboada, GonzálezFonteboa, Martínez-Abella, & Pérez-Ordóñez, 2016; Kostić &…”
Optimum mix design of geopolymer pastes and concretes cured in ambient condition based on compressive strength, setting time and workability (2019, methodology): “15 Numerous studies have used multivariable regression models to predict the properties of paste, mortar 356 and concrete with excellent results [14, 37-40].”