Prediction of Consumer Price Index Based on RBF Neural Network

被引：0
|
作者：
Du, Yulin [1 ,2 ]
机构：
[1] Fudan Univ, Sch Management, Shanghai 200433, Peoples R China
[2] East China Univ Polit & Sci Law, Dept Finance, Shanghai 201620, Peoples R China
来源：
PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年
关键词：
CPI; RBF Neural Network; Prediction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Consumer price index (CPI) is a very important index in macroeconomics. In this paper,we predict CPI using four methods : single linear regression, multiple linear regression, BP neural network and REF neural network.We compare the prediction accuracy of these models, finding that RBF neural network has the best prediction effect among these four models,the second is the BP neural network method which indicating there are strong nonlinear in consumer price index, we should use nonlinear model to predict CPI.
引用
收藏
页码：2858 / 2861
页数：4
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