ALGORITHM FOR ANALYZING ECONOMIC INDICATORS BASED ON THE SUPPORT VECTOR REGRESSION METHOD OF ARTIFICIAL INTELLIGENCE
Keywords:
Artificial intelligence, economic indicators, support vector regression method, sales delays, RMSE, MAE, R², decision-makingAbstract
This study focuses on developing an algorithm for analyzing economic indicators using the Support Vector Regression (SVR) method of artificial intelligence. The advancement of artificial intelligence mechanisms is increasing the ability to forecast economic indicators in various sectors. In this regard, research was conducted to analyze economic indicators using the SVR method. The mathematical formulation of the SVR method and the problem of constructing a decision-making function based on an objective function were solved. Based on mathematical rules, a Support Vector Regression algorithm was developed. The performance of the algorithm was evaluated using RMSE, MAE, and R² metrics.
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Copyright (c) 2025 Nazarov Fayzullo Maxmadiyarovich, Sayidqulov Asliddin Xusniddin o'g'li, Yarmatov Sherzod Shokir o'g'li
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