DocumentCode
3286677
Title
Notice of Retraction
Prediction and Analysis of Chinese CPI Based on RBF Neural Network
Author
Wang Yu ; Li Xudong
Author_Institution
Sch. of Economic Inf. Eng., Southwestern Univ. Of Finance & Econ., Chengdu, China
Volume
3
fYear
2009
fDate
15-17 May 2009
Firstpage
530
Lastpage
533
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Since 2007, CPI in our country has reached new high repeatedly, causes attention closely in society. Using data published by State Statistical Bureau, this article, after process, applies RBF neural network with momentum item to forecast separately CPI in 2008 and in 2009 will be respectively 109.4733 and 106.4275, and also puts forward some corresponding policy proposals.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Since 2007, CPI in our country has reached new high repeatedly, causes attention closely in society. Using data published by State Statistical Bureau, this article, after process, applies RBF neural network with momentum item to forecast separately CPI in 2008 and in 2009 will be respectively 109.4733 and 106.4275, and also puts forward some corresponding policy proposals.
Keywords
pricing; radial basis function networks; Chinese consumer price index; RBF neural network; State Statistical Bureau; radial basic function; Application software; Economic forecasting; Finance; Information analysis; Information technology; Kernel; Mathematics; Neural networks; Neurons; Radial basis function networks; radial basic function (RBF); time series;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3600-2
Type
conf
DOI
10.1109/IFITA.2009.204
Filename
5232178
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