DocumentCode
2877431
Title
Analysis and Forecasting on the Relationship between Port Logistics Capacity and Coastal Marine Economic Growth Based on PKNN in Case of Zhejiang Province
Author
Zhibin Li ; Lingling Wang ; Haichuan Lou
Author_Institution
Dept. of Bus. Manage., Zhejiang Sci-tech Univ., Hangzhou, China
fYear
2012
fDate
17-18 Nov. 2012
Firstpage
247
Lastpage
251
Abstract
A priori knowledge neural network is presented to model on the relationship between the port logistics capacity and coastal marine economic growth in Zhejiang province in China. Compared to other methods (such as general GM (1, 1) based time series model), the PKNN with multivariate and time series method has better performance. And, it is validated by predicting the level of coastal ocean economic development in Zhejiang from the year 2011 to 2020.
Keywords
economic forecasting; logistics; neural nets; time series; PKNN; Zhejiang Province; coastal marine economic growth; coastal ocean economic development; multivariate method; port logistics capacity; priori knowledge neural network; time series method; Economics; Logistics; Neural networks; Predictive models; Sea measurements; Time series analysis; marine economy in Zhejiang Province; prior knowledge neural networks (PKNN); the port logistics capacity;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4673-4725-9
Type
conf
DOI
10.1109/CIS.2012.62
Filename
6405907
Link To Document