Coparison of artificial intelligence methods for predicting compressive strength of concrete

Compressive strength of concrete is an important parameter in design. Accurate prediction compressive can lower costs and save time. Therefore, thecompressive performance artificial intelligence methods (adaptive neuro fuzzy inference system, random forest, linear regression, classification regression tree, support vector k-nearest neighbour extreme learning machine) are compared this study using six different multinational datasets. The these evaluated the correlation coefficient, root mean square error, absolute percentage error criteria. Comparative results show that adaptive system (ANFIS) more successful all