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The present paper discusses the prediction of gas-liquid two-phase frictional pressure drop in a 2.12 mm horizontal circular minichannel using Artificial Neural Network (ANN). The experimental results are obtained with air as gas phase and water as liquid phase. The superficial gas velocity is kept in the range of 0.0236 m/s to 0.4722 m/s while the values of 0.0944 m/s, 0.1416 m/s and 0.1889 m/s are considered for superficial liquid velocity. The experimental results are predicted using different Artificial Neural Network (ANN) models. Networks used for prediction are radial basis, generalised regression, linear layer, cascade forward back propagation, feed forward back propagation, feed forward distributed time delay, layer recurrent, and Elman back propagation. Transfer functions used for networks are Linear (PURELIN), Logistic sigmoid (LOGSIG), tangent sigmoid (TANSIG) and Gaussian RBF. Combination of networks and transfer functions give different possible neural network models. These models are compared for Mean Absolute Relative Deviation (MARD) and Mean Relative Deviation (MRD) to identify the best predictive model of ANN., {"references":["Venkatesan, M., S. K. Das and A. R. Balakrishnan, Effect of diameter on two-phase pressure drop in narrow tubes. Experimental Thermal and Fluid Science 35, 531–541, 2011.","Dutkowski, K., Two-phase pressure drop of air–water in minichannels. International Journal of Heat and Mass Transfer, 52 (21-22), 5185–5192, 2009.","H. B. Mehta and J. Banerjee, Experimental investigations on thermo-hydrodynamics of continuous Taylor bubble flow through minichannel, International journal of Heat and Mass Transfer, 2015.","Hemant B. Mehta, Manish P. Pujara, Jyotirmay Banerjee, Prediction of Two Phase Flow Pattern using Artificial Neural Network, International Conference on Chemical and Environmental Engineering (ICCEE'2013) Johannesburg (South Africa), April 15-16, 2013.","M. Abdulkadir, V. Hernandez–Perez, I.S. Lowndes, B.J. Azzopardi, Experimental study of the hydrodynamic behaviour of slug flow in a vertical riser. Chem. Eng'g Sci., 106, 60-75, 2014.","S. R. Gengaje, L. S. Alandkar, Prediction of survival of Burn Patient Using Radial Basis Function Network, Avishkar–Solapur University Research Journal, Vol. 2, 2012."]}