Prediction of City Distribution Risk Based on BP
City Distribution has the large number of random factors when it is operating, such as demand uncertainty, asymmetric information, and supplier uncertainty. These factors led to city distribution management risk and affect the daily operation. According to the characteristics of the city logistics, this paper proposed a city distribution risk assessment system, and established risk prediction model with BP neural network and simulation by MATLAB. The historical data of the risk are classified collation in this paper. And it proved that the risk prediction model is applicability and feasibility according to this date.
BP neural network Risk prediction Distribution City Logistics
Haoxiong Yang Chuan Zhao Xinjian Du Jing Wang
School of Business, Beijing Technology and Business University. Beijing. 100048 School of Computer and Information Engineering, Beijing Technology and Business University, Beijing,
国际会议
International Symposium on Emergency Management 2011(ISEM‘2011)(第六届国际应急管理论坛暨中国(双法)应急管理专业委员会第七届年会)
北京
英文
69-74
2011-11-19（万方平台首次上网日期，不代表论文的发表时间）