Modeling and Forecast of Operating Capability of Chinese Logistics Industry

Author

Li-Ping, Wang

Author_Institution

Sch. of Econ. & Manage., Henan Polytech. Univ., Jiaozuo, China

Volume

1

fYear

2009

fDate

22-24 May 2009

Firstpage

125

Lastpage

128

Abstract

The sustainable and rapid development of Chinese economy objectively brings forward new requirements for operating capability and development potential of Chinese logistics industry. Under the background, the paper used advance neural network method to establish a decision-making model of operating capability of Chinese logistics industry, and made efficient examining through real logistics data. The result proved that the model could better forecast the operating demand of logistics industry, and provide scientific decision-making reference for high efficient logistics resource allocation.

Keywords

decision making; economic forecasting; industrial economics; logistics; neural nets; sustainable development; Chinese economy; Chinese logistics industry; decision-making model; forecasting; neural network; operating capability; operating demand; real logistics data; resource allocation; sustainable development; Decision making; Economic forecasting; Electronics industry; Industrial economics; Industrial training; Logistics; Macroeconomics; Neural networks; Predictive models; Rail transportation; China; decision-making model; forecast; logistic industry;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-0-7695-3643-9

Type

conf

DOI

10.1109/ISECS.2009.13

Filename

5209864