Neural-network model for determining the equilibrium compositions of multicomponent systems
Л. Г. Комарцова, С С Стрельченко, Yurii N. Lavrenkov · Optical Memory and Neural Networks · 2010
This paper proposes a model for calculating the equilibrium compositions for multicomponent thermodynamic systems (by the example of Ga-As-Cl-H) using a Hopfield neural network. The proposed system permits the analysis of the dependence of the equilibrium state on the changing parameters of a thermodynamic system.