The combination of Proper Orthogonal Decomposition (POD) with Kriging has been shown to be a reliable choice for the development Reduced-Order Models (ROMs) prediction combustion data at unexplored operating conditions. In this study, POD is combined Polynomial Chaos Expansion (PCE), PCE and (PC-Kriging) Artificial Neural Networks (ANN) ROM that can predict 2D Non-negative Matrix Factorization ...