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《Journal of Shandong Agricultural University(Natural Science Edition)》 2018-06
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Application of ARIMA Time Series and BP NN Combined Model in Forecast for CPI

MENG Yi;Business School/Lingnan Normal University;  
The Consumer Price Index is an average that prices change with time during consumption and service in a market.Because of its influence on many economic indexes, people pay attention on it. In this paper, ARIMA time series model, BP neural network model and BP-ARIMA combined model were taken from CPI monthly data 2009-2017 in our country to forecast the monthly CPI in 2017. The result showed that forecast effect of BP-ARIMA combined model is the best in three models.
【CateGory Index】: F224
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 LIU Hai-ping,WANG Hai-tao,WANG Hong-li,LI Dong-yan,GUO Kai-qiang(Department of Mathematics and Physics,Shandong Jiaotong University,Jinan 250023,China);CPI Price Index Forecast Model Based on BP Neural Network[J];山东交通学院学报;2009-03
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【Co-citations】
Chinese Journal Full-text Database 7 Hits
1 GU Haibing;WANG Shujuan;Renmin University of China;;Periodic Analysis of Domestic Grain Price Index and Its Forecast During the 13th Five-Year Plan[J];经济与管理研究;2015-12
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【Secondary Citations】
Chinese Journal Full-text Database 8 Hits
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