A study of Chinese private passenger cars based on BP neural network
Chen, Chen , He, Jie, Zhang , Jing-fen , Chu , Qing-zhong , & Gao , Meng-qi (2007) A study of Chinese private passenger cars based on BP neural network. In International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007, 21-25 September 2007 , Shanghai .
This study employs BP neural network to simulate the development of Chinese private passenger cars. Considering the uncertain and complex environment for the development of private passenger cars, indicators of economy, population, price, infrastructure, income, energy and some other fields which have major impacts on it are selected at first. The network is proved to be operable to simulate the progress of chinese private passenger cars after modeling, training and generalization test. Based on the BP neural network model, sensitivity analysis of each indicator is carried on and shows that the sensitivity coefficients of fuel price change suddenly. This special phenomenon reveals that the development of Chinese private passenger cars may be seriously affected by the recent high fuel price. This finding is also consistent with facts and figures
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|Item Type:||Conference Paper|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)|
|Divisions:||Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)|
|Copyright Owner:||©2007 IEEE.|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||02 Oct 2009 13:16|
|Last Modified:||11 Aug 2011 04:37|
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