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

Vol. 30, Iss. 3, MARCH 2024

Received: 23 October 2023

Received in revised form: 6 November 2023

Accepted: 20 November 2023

Available online: 28 March 2024

Subject Heading: INVESTING

JEL Classification: C32, C45, L63, O21, O32

Pages: 531–556

https://doi.org/10.24891/fc.30.3.531

Sergei N. YASHIN National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation
jashinsn@yandex.ru

https://orcid.org/0000-0002-7182-2808

Egor V. KOSHELEV National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation
ekoshelev@yandex.ru

https://orcid.org/0000-0001-5290-7913

Aleksei A. IVANOV National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation
alexey.iff@yandex.ru

https://orcid.org/0000-0003-4299-4042

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.

Keywords: neural network, time series, prediction, radio electronics industry

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