Title :
Modeling and Forecast of Operating Capability of Chinese Logistics Industry
Author_Institution :
Sch. of Econ. & Manage., Henan Polytech. Univ., Jiaozuo, China
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;
Conference_Titel :
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3643-9
DOI :
10.1109/ISECS.2009.13
