Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-01216-7_84 | SIXTH INTERNATIONAL SYMPOSIUM ON NEURAL NETWORKS (ISNN 2009) |
Keywords | DocType | Volume |
City logistics planning,City freight volume,BP neural network,Forecasting model | Conference | 56 |
ISSN | Citations | PageRank |
1867-5662 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peina Wen | 1 | 0 | 0.34 |
| Zhiyong Zhang | 2 | 0 | 0.34 |