Prediction of properties of waste AAC aggregate concrete using artificial neural network

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Properties of fresh and hardened concrete (2011, background): “autoclaved aerated concrete aggregate [90].”
Computational design optimization of concrete mixtures: A review (2018, methodology): “Since then, researchers have applied ANN methods to wide-ranging problems in cement and concrete research; they have been used to model several types of concrete properties, including compressive strength, slump, filling capacity, and segregation and for many types of concrete including high perform”
Experimental investigation and empirical modelling of FDM process for compressive strength improvement (2012, background): “However, neural networks can be easily applied to situations where relationship between the predictor variables (inputs) and predicted variables (outputs) is quite involved, complex, and difﬁcult to easily articulate in the usual terms of correlations [18].”