DocumentCode :
653071
Title :
Prediction models of the number of end-of-life vehicles in China
Author :
Guangdong Tian ; Mengchu Zhou ; Jiangwei Chu ; Bing Wang
Author_Institution :
Transp. Coll., Northeast Forestry Univ., Harbin, China
fYear :
2013
fDate :
25-27 Sept. 2013
Firstpage :
357
Lastpage :
362
Abstract :
Prediction along with future trend analysis of the volume of end-of-life vehicles (ELVs) has a great impact on the execution of regulations and formulation of policies in China. To deal with such issues, this work investigates the historical data of their major influence factors including production volume, sale volume, vehicle count, turnover of highway freight, passenger turnover, GDP and income of per urban resident. Moreover, based on obtained main factors and historical data of ELV volume in China, its prediction models are established by multiple linear regressions (MLR), neural networks (NN) and optimized NN based on genetic algorithm (GA-NN) methods. In addition, a numerical example is given to illustrate the proposed models and the effectiveness of the proposed methods.
Keywords :
economic indicators; genetic algorithms; neural nets; production engineering computing; regression analysis; sales management; China; ELV volume; GA-NN methods; GDP; end-of-life vehicles; genetic algorithm; highway freight; multiple linear regressions; neural networks; optimized NN; passenger turnover; prediction models; production volume; sale volume; vehicle count; Artificial neural networks; Biological cells; Biological system modeling; Neurons; Predictive models; Solid modeling; Vehicles; China; End-of-life vehicles; Modeling and simulation; Prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2013 International Conference on
Conference_Location :
Luoyang
Print_ISBN :
978-1-4799-2518-6
Type :
conf
DOI :
10.1109/ICAMechS.2013.6681808
Filename :
6681808
Link To Document :
بازگشت