Title :
Price Index of Commodity Retail Predicting Model Based on Support Vector Machine
Author :
Lihua Ma ; Huizhe Yan
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan
Abstract :
The price index of commodity retail is a relative number reflected the price of commodity retail variable trend and degree in a given period. The price of commodity retail´s variation directly effect residents´ payment and national financial revenue. So in order to forecast the variable trend of commodity price index, a new model is presented that based on support vector machine (SVM). Firstly, the support vector machine is introduced. Secondly, China´s 55-year of the price index of commodity retail is analyzed. Thirdly, the forecasting model is established based on SVM, and is applied to forecaste the price index of commodity retail.Finally, the price index of commodity retail is worked out. Finally, the correction and feasibility of this model is identified as in a case study.
Keywords :
economic indicators; support vector machines; commodity price index; commodity retail predicting model; forecasting model; national financial revenue; resident payment; support vector machine; Analytical models; Curve fitting; Economic forecasting; Engineering management; Linearity; Management training; Monte Carlo methods; Predictive models; Statistical analysis; Support vector machines;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5073016
