A Normalized Radial Basis Function (NRBF) neural network has been presented for accurate prediction of the vapor-According to the network's training, validation and testing results, a network with sixteen hidden nodes is selected as the best architecture. The presented model is very accurate over wide ranges of experimental pressure and temperature values. The predicted VLE of the refrigerant mixture is accurate enough to be employed in the design of refrigeration cycles.