Research on the Application of Mathematical Models in Economic Forecasting

Abstract

This study aims to explore the specific applications and implementation methods of mathematical models in economic forecasting. By analyzing classical mathematical models, modern mathematical models, and machine learning and artificial intelligence models, the study proposes strategies for optimizing economic forecasting models. The results show that mathematical models significantly improve the accuracy and efficiency of economic forecasts, providing scientific evidence for future economic decision-making. The paper also discusses the comprehensive application and optimization of models, offering new insights for the future direction of economic forecasting.