基于BP神经网络的我国CPI预测与对策

计算机科学 ›› 2009, Vol. 36 ›› Issue (10): 256-257.

基于BP神经网络的我国CPI预测与对策

王宇,李旭东,李自力

(西南财经大学经济信息工程学院成都 610074);(西华大学数学与计算机学院成都 610039)

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受西南财经大学"211工程”三期青年教师成长项目、校管课题资助。

Prediction and Countermeasure of Chinese CPI Based on BP Neural Network

WANG Yu, LI Xu-dong, LI Zi-li

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 2007年以来，我国的CPI涨幅屡创新高。现利用国家统计局网站公布的数据，经过整理后应用带有动量项的BP神经网络分别预测出2008年和2009年我国CPI将分别为104. 91和104. 88左右，2008年一季度和二季度CPI分别为106. 36和106. 53，食品分类消费价格指数分别为116. 52和116. 32左右，并提出了一些相应的政策建议。

关键词: 消费价格指数，食品分类消费价格指数，BP神经网络，预测，对策

Abstract: Since 2007,CPI in our country has reached new high repeatedly. Using data published by State Statistical Burcau, and processing them, we applied BP neural network with momentum item to forecast separately CPI in 2008 and in 2009 will be respectively 104. 91 and 104. 88,CPI in the first quarter and second quarter of 2008 is respectively 106. 36 and 106. 53,CPI for food classification will be respectively 116. 52 and 116. 32,and also put forward some corresponding policy proposals.

Key words: CPI, CPI for food classification,BP neural network, Prediction, Countermeasure

王宇,李旭东,李自力. 基于BP神经网络的我国CPI预测与对策[J]. 计算机科学, 2009, 36(10): 256-257. https://doi.org/

WANG Yu, LI Xu-dong, LI Zi-li. Prediction and Countermeasure of Chinese CPI Based on BP Neural Network[J]. Computer Science, 2009, 36(10): 256-257. https://doi.org/

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