引用本文格式: 陈厚积,胡晓兵,邓希. 基于GMDH的宏观经济短期预测模型 [J]. 四川大学学报: 自然科学版, 2020, 57: 915~919.
 
基于GMDH的宏观经济短期预测模型
A short-term macroeconomic Forecasting model based on GMDH
摘要点击 156  全文点击 21  投稿时间:2020-07-09  修订日期:2020-08-16
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DOI编号   
中文关键词   宏观经济短期预测,GMDH,二次自回归模型
英文关键词   economic early warning, prosperity index, self-organizing data mining algorithm
基金项目   
作者单位E-mail
陈厚积 明尼苏达大学双城分校文理学院 明尼阿波利斯 55455 798823824@qq.com 
胡晓兵 四川大学机械工程学院  
邓希 四川大学机械工程学院  
Author NameAffiliationE-mail
CHEN Hou-Ji School of Arts and Sciences, University of Minnesota Twin Cities, Minneapolis 55455 798823824@qq.com 
HU Xiao-Bing College of Mechanical Engineering, Sichuan University, Chengdu 610065, China  
DENG Xi College of Mechanical Engineering, Sichuan University, Chengdu 610065, China  
中文摘要
    传统的宏观经济短期预测研究通常基于定量或定性预测模型,而GMDH 算法兼具定性定量的特点,建立了基于GMDH 自回归模型的混合预测模型数学模型来进行宏观经济短期预测,应用相关的统计数据做实证分析,将所得结果与传统GMDH模型、二次自回归模型进行了比较.结果表明,本文提出的混合预测模型具有良好的预测精度,是一种有效的宏观经济短期预测手段.
英文摘要
    Traditional short term macroeconomic forecasting research is usually based on quantitative or qualitative forecasting models, while GMDH algorithm has both qualitative and quantitative characteristics. This work proposes a mixed mathematical prediction model to forecast short term macroeconomic. The model is a combination of GMDH autoregressive model and quadratic autoregressive model. Relevant statistical data are used for empirical analysis, and the results are compared with the traditional GMDH model and the quadratic autoregressive model. The results show that the hybrid forecasting model proposed in this paper has good forecasting accuracy and is an effective means of economic forecasting.

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