Feasibility Study of Economic Forecasting Model based on Data Mining

Abstract

Economic forecast is based on the cognition of the operation law of human economic activities and the logical inference of the future economic development situation and trend. Most of the traditional economic models are linear models, which have certain economic forecasting ability, but also have obvious shortcomings, such as it is difficult to reflect the extensive nonlinear relationship in the economic system. Because the economic system is very complex, there are many internal factors, and there are strong coupling, time-varying and nonlinear characteristics among them, so the modeling and forecasting of economic system is a very challenging research. In the context of rapid changes in the economic environment, the relationship between economic variables and external random disturbance factors will be more likely to change rather than maintain a certain relationship. The complex and changeable situation of economic operation leads to more uncertainties in economic development. Therefore, some classical economic models can not meet the needs of empirical research in China. We urgently need to conduct empirical research on China's economic problems from the perspective of dynamic uncertainty.