Tytuł pozycji:
Modelling of urea synthesis process equilibrium with the use of artificial neural networks
An artificial neural network was used to model the equilibrium of a complex process of urea synthesis from ammonia and carbon dioxide. The network was created using DynaMind programme. It was found that the net properly trained on 278 experimental cases renders precisely, qualitatively and quantitatively, influence of the state parameters on chemical equilibrium of the urea synthesis process.