ARTIFICIAL INTELLIGENCE–BASED MODELING AND OPTIMIZATION OF ECONOMIC PROCESSES

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Issue: Vol. 3 No. 47 : Young scientists
Section: Maqolalar
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Department of Telecommunications, Fergana State University of Technology, Fergana, Uzbekistan
info@in-academy.uz
Department of Telecommunications, sFergana State University of Technology, Fergana, Uzbekistan
info@in-academy.uz
Department of Telecommunications, Fergana State University of Technology, Fergana, Uzbekistan
info@in-academy.uz
Senior teacher, Faculty of Information Security and Telecommunications, Fergana State University of Technology, Fergana, Uzbekistan
info@in-academy.uz

Abstract:

This article presents a thorough analysis of the expanding role of artificial intelligence  technologies in modeling, analysis, and optimization of complex economic systems. The use of AI in these processes is critical in the digital economy, as the rapid growth and increased interconnectedness of economic activities calls for smart research and analytical tools that deal with the vast amount of data and hidden patterns. AI-enhanced modeling strategies—neural networks, regression, simulations, machine learning algorithms, time-series models—will be judiciously measured for performance, accuracy, and feasibility in different economic environments.

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How to Cite:

Mirzaodilov, U. ., Xoshimov, M., Muqimov, A., & Khalilov, M. (2025). ARTIFICIAL INTELLIGENCE–BASED MODELING AND OPTIMIZATION OF ECONOMIC PROCESSES. Young Scientists, 3(47), 79–85. Retrieved from https://in-academy.uz/index.php/yo/article/view/66736

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