The Application of the Combinatorial and Optimal Networks on the Prediction of the Consumer Price Index

Fang Qiong Luo; Sheng Zhong Huang

doi:10.4028/www.scientific.net/AMR.488-489.886

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 488-489The Application of the Combinatorial and Optimal...

The Application of the Combinatorial and Optimal Networks on the Prediction of the Consumer Price Index

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 488-489)

Pages:

886-891

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.488-489.886

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Online since:

March 2012

Authors:

Fang Qiong Luo, Sheng Zhong Huang

Keywords:

Combinatorial Prediction, Consumer Price Index, Network, Predict Effect

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