Name
Abstract | ||
|---|---|---|
This paper describes the factors influencing Shanghai's logistics demand, emphasizes on the need in Shanghai's water-way and land-way traffic, uses the software “Matlab R2010a” to apply Time Series BP(Back Propagation) Neural Network and Causal Analysis BP Neural Network in forecasting Shanghai's logistics demand and evaluate its predictive validation. The objective is to provide knowledge and experience for the future research in logistics industry through theoretical and quantitative analysis. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICNSC.2013.6548799 | ICNSC |
Keywords | Field | DocType |
bp neural network,logistics industry,production engineering computing,causal analysis,logistics demand,influencing factors in logistics demand,backpropagation,urban logistics,time series bp,matlab r2010a,land-way traffic,logistics,logistics demand forecast,goods distribution,shanghai,time series,neural nets,water-way traffic,throughput,time series analysis | Causal analysis,MATLAB,Computer science,Goods distribution,Operations research,Software,Artificial neural network,Backpropagation | Conference |
Volume | Issue | ISSN |
null | null | 1810-7869 |
ISBN | Citations | PageRank |
978-1-4673-5199-7 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiantong Zhang | 1 | 0 | 1.35 |
| Guang Yang | 2 | 19 | 5.90 |