Database on ANN-Based Performance Evaluation of Composite Recycled Mortar

Furthermore, utilizing extremum optimization through ANN's genetic algorithm function, the paper forecasts optimal compressive strength and corresponding mix proportions. Because of its high predictive accuracy, ANN can efficiently supplement conventional destructive tests, thereby conserving valuable time, resources, and capital within the construction industry. This research could significantly advance civil engineering by providing an optimal ANN model for predicting the compressive strength of composite recycled mortar, ultimately contributing to the reduction of carbon dioxide emissions and promoting environmental protection and sustainable development.