Abstract
Dynamic neural networks are considered as specific class of nonlinear dynamic systems with neural controller in the control contour. It is explained that classical methods of analysis of nonlinear control systems are applicable for the class of systems under consideration. Specific features of application of statistical linearization method for analysis and parametrical synthesis of dynamic neural systems are considered. Analysis of system is interpreted as determination of second statistical moments of various coordinates, for example, of error signal. Synthesis is interpreted as determination of optimal parameters of neural controller, in terms of minimization of root-mean-square error.
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