Fly ash-based geopolymer concrete's compressive strength estimation by applying artificial intelligence methods

•Artificial intelligence methods are fast, low cost with high accuracy in predicting the properties of materials.•Investigating the ability of hybrid model of radial basis function neural network with ant colony optimization algorithm for predicting the compressive strength of geopolymer concrete.•Comparing the performance of three various developed artificial intelligence methods for predicting the compressive strength of geopolymer concrete.