Neural network modeling of innovative development of the electronics industry of regions

Abstract

Subject. This article focuses on the issues of neural network modeling of innovative development. Objectives. The article aims to study the process of neural network modeling of the innovative development of the electronics industry in the regions of Russia. Results. The article presents the author-developed methodology for neural network modeling of the innovative development of the electronics industry of the regions. Conclusions and Relevance. The results obtained can be useful for government agencies to plan support for the innovative development of the electronics industry in regions. Investors can also use these results to choose the area of capital investment of their funds.