Title :
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
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;
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
DOI :
10.1109/ICICTA.2010.424