期刊文献+

基于BP网络对我国通货膨胀率的预测及其分析 被引量:1

Speculation and analysis basing on BP network's influence on China inflation rate
下载PDF
导出
摘要 本文首先由我国的CPI计算出通货膨胀率,综合分析了我国通货膨胀率和GDP增长率数据。其次,用带有动量项和自适应学习率的BP神经网络预测出2008~2009年我国CPI,从而推算出2008~2009年我国通货膨胀率分别是4.99%和4.91%左右。并提出了一些相应的政策建议。 In this paper, the inflation rate of our country is calculated first, then the inflation rate and GDP of our country 1986-2007 years are analyzed synthetically. Secondly, the our country CPI for 2008-2009 years is predicted by BP algorithm with momentum term and self-correcting study rate, reckoning for 2008-2009 years the inflation rate of the our country, then some corresponding policy recommendations is given.
作者 李旭东
出处 《特区经济》 北大核心 2008年第6期260-261,共2页 Special Zone Economy
关键词 通货膨胀率 BP网络 预测 GDP Inflation rate BP network prediction GDP
  • 相关文献

参考文献5

二级参考文献54

  • 1阎平凡 张长水.人工神经网络与模拟进化计算[M].北京:清华大学出版社,2001..
  • 2王永骥 涂健.神经元网络控制[M].北京:机械工业出版社,1999..
  • 3李春好,李立辉,杨印生.人工神经网络BP算法的数据处理方法及应用[J].系统工程理论与实践,1997,17(7):106-109. 被引量:21
  • 4Gadea M.D.,Sabate M.and Serrano J.M.Structural breake and their trace in the memory Inflation rate series in the long-run[J].Journal of International Financial Markets,Institutions & Money,2005,(14):117-134.
  • 5Benati,L.and Kapetanios G.Structural Breaks in Inflation Dynamics[J].Computing in Econonics and Finance2003,2003,169.
  • 6Chow,G.CTtests of Equality Between Sets of Coefficients in Two Linear Regressions[J].Econometrica,1960,28:591-605.
  • 7Andrews,D.W.K.Tests of.parameter Instability and Structural Change with Unknown Change Point[J].Econometrica,1993,61:821-856.
  • 8Brown,R.L.,JDurbin,and J.Evans,Techniques for testing the constancy of regression relationship over time[J].1975,37:149-63.
  • 9Bai,Jushan.Least Squares Estimation of a Shift in Linear Process[J].Journal of Time Series Analysis,1994,15:453
  • 10Bai,Jushan.Estimation of a Change Point in Multiple Regression Models[J].Review of Economics and Statistics,November,1997,79:551-63.

共引文献65

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部