The application of the combinatorial and optimal networks on the prediction of the consumer price index

摘要：

Consumer price index (CPI) was a main scientific ground for manager to put forward price policy,wage policy,and national economy development strategy.A lot of study and prediction were carried out for CPI by many scientists,and corresponding achievement was obtained.However,the simple network was applied to the past perdition methods,and the prediction results was not good.The prediction method based on the combinatorial and optimal networks of BP network,Elman network,RBF network and GRNN network was established and applied to the prediction of consumer price index.The simulation results showed that the effect of the combinatorial and optimal method was better than that of single method.

关键词： Consumer price index combinatorial prediction network predict effect

作者: Fangqiong Luo Shengzhong Huang

作者单位: Department of Mathematics and Computer Science,Liuzhou Teachers College,Liuzhou,Guangxi 545004,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 1-4

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）