Neural network model of interaction between real economy sector entrepreneurship and financial field under risk

DOI

10.2991/cssdre-19.2019.51How to use a DOI?

Keywords

Neural network model, interaction, entrepreneurship, economy, financial sphere, financial risk, market uncertainty

Abstract

The paper presents a developed neural network model of interaction between entrepreneurship enterprises and financial system. A hypothesis that a neural network makes it possible to simulate the interaction between complex systems and develop a profit forecast for enterprises in the real sector of the economy under risk has been put forward and proved. Among the main research methods, monographic method, design-constructive procedure and artificial intelligence are to be emphasized. The results include the fact that the theoretical foundations of the interaction between enterprises in the real economy sector and the financial and budgetary systems have been investigated. The factors determining the profitability of the enterprises in the real sector of the economy have been considered. Main interaction dependencies between the economic and financial systems under conditions of market uncertainty have been revealed. The systems of artificial intelligence in business and other spheres have been investigated. The theoretical foundations of the financial risk analysis under conditions of uncertainty have been considered. A neural network model that makes it possible to obtain a profit forecast for enterprises in the real sector of the economy under risk has been developed. Main conclusions that reflect the results of the study have been formulated. They consist in the fact that in modern conditions it is important to study the issues associated with the further development of entrepreneurship and the real sector of the economy as a whole in conditions of market uncertainty and risk. The studies have shown that it seems appropriate to identify patterns of interaction between entrepreneurship in the real economy and the financial and budgetary systems using artificial intelligence systems. The research has resulted in a neural network model that makes it possible to obtain a profit forecast for enterprises in the real sector of the economy under risk.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nikolai Lomakin
AU  - Gennadiy Lukyanov
AU  - Natalya Vodopyanova
AU  - Anastasia Gontar
AU  - Elena Goncharova
AU  - Elena Voblenko
PY  - 2019/06
DA  - 2019/06
TI  - Neural network model of interaction between real economy sector entrepreneurship and financial field under risk
BT  - Proceedings of the Volgograd State University International Scientific Conference "Competitive, Sustainable and Safe Development of the Regional Economy" (CSSDRE 2019)
PB  - Atlantis Press
SP  - 254
EP  - 257
SN  - 2352-5428
UR  - https://doi.org/10.2991/cssdre-19.2019.51
DO  - 10.2991/cssdre-19.2019.51
ID  - Lomakin2019/06
ER  -