DocumentCode
2970778
Title
Car Cost Forecasting by Support Vector Regression with Tabu Search Algorithm
Author
Li, Yi ; Liu, Guanzhong
Author_Institution
Bus. Sch., Central South Univ., Changsha, China
fYear
2011
fDate
12-14 Aug. 2011
Firstpage
1
Lastpage
3
Abstract
This electronic document is a "live" template. Accurate cost forecasting is essential for the design style of car. The support vector regression is applied to forecasting the cost of car, and the tabu search algorithm which is a meta-heuristic algorithm, is used to optimize the parameters of support vector regression. The experimental results show that the proposed method can forecasting the cost accurately.
Keywords
automobile industry; cost accounting; forecasting theory; optimisation; regression analysis; search problems; support vector machines; car cost forecasting; electronic document; meta-heuristic algorithm; optimization; support vector regression; tabu search algorithm; Algorithm design and analysis; Databases; Forecasting; Kernel; Optimization; Support vector machines; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6579-8
Type
conf
DOI
10.1109/ICMSS.2011.5998574
Filename
5998574
Link To Document