The model of theoretical potential function represented by networks ha
s been proposed. Quantum chemical ab initio method is used to calculat
e the interionic potential of molten salt systems. The physical conten
ts of network potential are indicated with Born-Mayer-Huggins empirica
l potential functions, whose deviation from the theoretical potential
owing to its approximation is corrected rising Lack propagation artifi
cial neural networks (BP-ANN). Preliminary results have shown that the
theoretical potential function networks are useful for the computer s
imulations of molten salt systems.