Comparative analysis of the classical and nonclassical artificial neural networks

Abstract

A lot of artifiicial neural networks were proposed by scientists over the last time. Each of them can cope with the tasks of limited difficulty level, determined by their properties and capabilities. The aim of this paper is to outline difference of them and to define their positive and negative sites in different tasks of identification and control.