Machine learning in concrete strength simulations: Multi-nation data analytics

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Emerging artificial intelligence methods in structural engineering (2018, methodology): “[191] Concrete strength simulations High performance concrete ANN,SVM, Classification and regression tree, linear regression”
Computational design optimization of concrete mixtures: A review (2018, methodology): “However, using machine learning to model the objectives has been shown to provide greater predictive performance of actual concrete mixture behavior compared to linear or quadratic models of properties like compressive strength or slump [105,68].”
Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences (2020, methodology): “31 Synthesis index (SyI) [64] Comprehensive performance measure a based on MAE, RMSE, and MAPE a SyI = 1”