Research on macroeconomic Forecasting model based on grey theory

Abstract

In the modern economic innovation and development, the grey theory and BP neural network algorithm are used to build a new macroeconomic prediction model. On the one hand, the input data can be comprehensively preprocessed, on the other hand, the improved BP neural network algorithm can be used to predict the final results. This paper studies the feasibility and effectiveness of the new macroeconomic forecasting model based on the grey forecasting principle and BP neural network algorithm. The final results show that both grey prediction and BP algorithm can help the staff to predict and analyze the macro economy as soon as possible, so as to grasp more valuable data information and put forward targeted management decisions.