Machine learning of intelligent control systems

Machine learning intelligent control systems by symbolic regression methods is considered. Symbolic regression allows to find mathematical expressions for various problems where it is necessary to find structure and parameters of unknown multidimensional function. The search for an unknown function is carried out by a genetic algorithm in code space of symbolic regression method. Functions containing condition operators that are mandatory component of intelligent control systems programs.