Use of neural networks in the financial sector
https://doi.org/10.53315/2949-1177-2025-4-4-85-94
Abstract
A key trend in modern digitalization is the development of neural networks and artificial intelligence. Artificial intelligence has permeated every aspect of life, including the financial market. This study focuses on the implementation of artificial intelligence technologies in financial markets within the Russian economic system, and outlines prospects for their development.
This article examines the use of artificial intelligence and neural networks in the financial sector. It examines in detail the nature of forecasting and modeling, as well as the processes involved in financial transactions. The paper examines model threats and potential steps to address them. The application of artificial intelligence in small businesses and its role in today’s reality are also discussed.
About the Authors
B. V. Sandzhieva
Kalmyk State University named after B.B. Gorodovikov
Russian Federation
Russian Federation
Sandzhieva B.V., Senior Lecturer,
Elista.
T. V. Lenkova
Kalmyk State University named after B.B. Gorodovikov
Russian Federation
Russian Federation
Lenkova T.V., Senior Lecturer,
Elista.
G. N. Saranova
Kalmyk State University named after B.B. Gorodovikov
Russian Federation
Russian Federation
Saranova G.N., Candidate of Economic Sciences, Associate Professor,
Elista.
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Review
For citations:
Sandzhieva B.V., Lenkova T.V., Saranova G.N. Use of neural networks in the financial sector. Economic policy and financial resources. 2025;4(4):85-94. (In Russ.) https://doi.org/10.53315/2949-1177-2025-4-4-85-94
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