Analysis on Shanghai´s logistics demand based on BP neural network

Author

Jiantong Zhang ; Guang Yang

Author_Institution

Coll. of Econ. & Manage., Tongji Univ., Shanghai, China

fYear

2013

fDate

10-12 April 2013

Firstpage

556

Lastpage

561

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.

Keywords

backpropagation; goods distribution; logistics; neural nets; production engineering computing; time series; BP neural network; Matlab R2010a; Shanghai; backpropagation; causal analysis; land-way traffic; logistics demand; logistics industry; time series BP; water-way traffic; Biological neural networks; Industries; Logistics; Throughput; Time series analysis; Training; BP neural network; influencing factors in logistics demand; logistics demand forecast; urban logistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking, Sensing and Control (ICNSC), 2013 10th IEEE International Conference on

Conference_Location

Evry

Print_ISBN

978-1-4673-5198-0

Electronic_ISBN

978-1-4673-5199-7

Type

conf

DOI

10.1109/ICNSC.2013.6548799

Filename

6548799