Analysis of the Regional Characteristics and Container Throughput Forecast Model of the Three Major Port Cities

Author

Yang, Xiaoming ; Xu, Ziqi ; Shu, Fan

Author_Institution

Logistics Eng. Coll., Shanghai Maritime Univ., Shanghai, China

Volume

1

fYear

2010

fDate

11-12 May 2010

Firstpage

679

Lastpage

682

Abstract

This article processes some related statistical data of the three major port cities in China, and analysis of the regional characteristics of the port cities, introduce and compare the commonly used prediction model for container port throughput, through concrete examples to verify the prediction precisions of regression analysis model and neural network model, combined with the regional characteristics of the three major port cities to set up the corresponding regression analysis models.

Keywords

containers; economic forecasting; goods distribution; neural nets; prediction theory; regression analysis; China; container throughput forecast model; neural network model; port cities; prediction model; regional characteristics; regression analysis; statistical data; Cities and towns; Containers; Economic forecasting; Neural networks; Predictive models; Regression analysis; Rivers; Sea measurements; Statistics; Throughput; Time Series; container; forecast model; neural network; regression analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.424

Filename

5522980