Title :
The Price Model of Shanghai License Auction Based on Support Vector Machine
Author :
Xi Fang ; Liang Lu
Author_Institution :
Sch. of Stat. & Manage., Shanghai Univ. of Finance & Econ., Shanghai, China
Abstract :
Support vector machine is a new machine learning technology based on statistics and structural risk minimization principal. An analysis method for the quantity and price of Shanghai license plate auction is proposed in this paper. A quantity-price model is given by using support vector machine. The simulation result shows that the proposed model has better modeling capability for the relationship between the quantity and the price of Shanghai license auction.
Keywords :
accounting; electronic commerce; learning (artificial intelligence); minimisation; risk management; statistical analysis; support vector machines; traffic engineering computing; Shanghai license plate auction; machine learning; quantity price model; statistical analysis; structural risk minimization; support vector machine; Artificial neural networks; Biological system modeling; Fitting; Licenses; Mathematical model; Support vector machines; Training;
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
DOI :
10.1109/ICMSS.2010.5576343
