An application of "neocognitron" neural network for integral chip image processing

Abstract

The architecture of the "neocognitron" neural network in the task of searching for structural units in a gray scale image of an integrated circuit is considered. The updated rule for activation of the network neurons invariant to distortions of brightness is represented. The comparative outcomes of recognition have shown the advantages of a neural network approach.