This paper introduces a new approach to reconstruct cosmological functions using artificial neural networks based on observational measurements with minimal theoretical and statistical assumptions. By networks, we can generate computational models of datasets, then compare them the original ones verify consistency our method. methodology is applicable even small-size datasets. In particular, te...
