Аналіз інтелектуальних методів для прогнозування рентабельності підприємства

Abstract

The paper analyzes intelligent forecasting methods. Various intelligent methods were considered in the research, including data mining, software agents, genetic algorithms, and neural networks. The advantages and disadvantages of these methods were identified, and the optimal method for solving the problem of forecasting a company's profitability was selected.