Modelling of the intellectual control system by technological processes sugar production

The analysis of neuronetwork structures for identification and management in system of automation of technological processes of sugar production is carried out. On the basis of the software package, realizing various architecture of neurocontrollers, dynamic models of control systems with neuronetwork regulators were considered. As a result of imitating modeling of the developed schemes of neuronetwork management by technological process in diffusive office chose the neuronetwork NARMA regulator - L2 using as model of operated object model of nonlinear autoregression with a sliding average (Nonlinear Autoregressive-Moving Avarage - NARMA - L2).