Prediction of concrete mixture data by applying artificial intelligence techniques

Artificial intelligence and machine learning science are progressing impressively. This discipline, whose main purpose is to solve problems is inspired by human intelligence and achieves its aim in many branches of science. Concrete compressive strength can be determined by difficult methods in civil engineering. In this study, a lot of digital prediction experiments were conducted using machine learning methods for concrete compressive strength prediction. Novel methods were developed for data preprocessing. And the contribution of the developed methods to the predictions were tested. The efficiency of preprocessing methods were proved with many prediction models. In addition, the compatibility of the estimation algorithms with the dataset was observed. According to these observations, the performance ranking of the models was made.