A Forecasting Model of City Freight Volume Based on BPNN

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外文摘要：City Freight Volume (FV) is a critical factor to the city logistics planning。 However， because of the complicated factors of city FV， the accurate prediction of city FV is not easy。 In this paper， we analyze nine affecting factors of city FV， and build up a forecasting model of Beijing FV based on BP Neural Network。 Solving the model by MATLAB， we would get the forecasting results of Beijing FV。 The numerical results show that the use of BP neural network model to predict the city FV is reasonable。

外文关键词：

city logistics planningcity freight volumeBP neural networkforecasting model

作者：

Peina Wen、Zhiyong Zhang

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作者单位：

Management science and engineering, Department of Postgraduate, Beijing Wuzi University, Beijing 101149, China

Management School, Hefei University of Technology, Hefei 230009, China

会议名称：

International symposium on neural networks;ISNN 2009

会议地点：

Wuhan(CN);Wuhan(CN)

会议母体文献：

The Sixth international symposium on neural networks

页码：

P.791-798

出版时间：

2009