Evolutionary algorithm for designing artificial neural networks with resource redistribution

Abstract

The article describes the approach of resource redistribution for training artificial neural networks in the process of evolution of the structure of these networks. The results of solving classification problems with and without the proposed approach are presented. It is shown that in a number of tasks, the proposed method allows achieving better classification accuracy relative to the standard approach when using an equal amount of resources.