Some issues relating to forward and reverse identification of artificial intelligence based systems

Abstract

The problem of identification of nonlinear functions by neural networks is studied. An example of a simulation of the sinc-function by partially correlated networks is given. Construction of inverse mapping for a nonlinear map by neural networks is formulated.