Research on Macroeconomic Prediction Model Based on BP algorithm

In the development of modern economic construction, to better innovation countermeasures, steadily enhance the level of national economic development and science, macro-economic control and regulation to use grey forecasting early projections for the core of the macroeconomic indicators, and combined with artificial neural network prediction model of nonlinear and the accuracy of the rule of component. So in this paper, we study the system to know at present, China's macroeconomic forecasting model on the basis of the research status quo, based on grey prediction analysis, the main indicator of macroeconomic presented using artificial neural network self-study ability and adaptability, and eventually considering economic factors on the basis of effective processing input data, after using the improved BP algorithm to predict the macroeconomic development results. The experimental results of this research model prove that the macro-economic prediction model based on BP algorithm has application value.