A Study on Prediction Model of BP Algorithm in Macroeconomics

Luhao Li, Jun-hong Zhang, Bo Yuan, Haohan Liu
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Abstract

Under the guidance of economic theory, the macroeconomic system is deeply studied. Clarify the characteristics of the macroeconomic system and discuss the macro-economic pointer system. According to the complexity and openness of macro-economic system, qualitative analysis and quantitative analysis are combined to analyze macro-economy by the method of comprehensive integration. To study the conventional methods of quantitative prediction; Using artificial neural network technology, under the connection of polynomial fitting and BP neural network, the prediction model system is created, and the prediction model is modeled by this way, which greatly improves the prediction accuracy of the system. It is found that the macro economy under BP algorithm shows an upward trend of development.
宏观经济学中BP算法的预测模型研究
在经济学理论的指导下,对宏观经济系统进行了深入的研究。厘清宏观经济系统的特征,探讨宏观经济指标体系。根据宏观经济系统的复杂性和开放性,采用综合整合的方法,将定性分析与定量分析相结合,对宏观经济进行分析。研究常规定量预测方法;利用人工神经网络技术,在多项式拟合和BP神经网络的连接下,建立预测模型系统,并以此方式对预测模型进行建模,大大提高了系统的预测精度。发现BP算法下的宏观经济呈现出上升的发展趋势。
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