DYNAMIC ANALYSIS OF A CONTROL AND METERING SYSTEM BASED ON THE NETWORK WITH A SYMMETRIC ACTIVATION FUNCTION OF NEURONS
The paper considers some elements of a simulation method designed for analyzing the dynamics of a non-linear multiparameter object (system) based on a network with a symmetric neuron-transformation function. The taught network can approximate the dynamics of the object and its control subsystem in the space of status variables.