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
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;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5998574
