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Prediction of City Distribution Risk Based on BP
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NETL
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 networkRisk predictionDistributionCity Logistics
Haoxiong Yang、Chuan Zhao、Xinjian Du、Jing Wang
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School of Business, Beijing Technology and Business University. Beijing. 100048
School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100048
International symposium on emergency management
Beijing(CN)
International symposium on emergency management 2011
NETL
