In conclusion, the results of the analyzed model will be inferior when compared to traditional thermodynamical modeling, especially in the cases where the activity parameters of the models were adjusted using experimental data. On the other hand, the advantage of the neural network lies in its capability to model complex systems without the need for thermodynamical effort. It serves as a good alternative, particularly in cases where there is a lack of thermodynamic data.