DocumentCode
526911
Title
Forecasting the model of foreign trade of the eco-environment based on GA-BP neural network
Author
Jianna, Zhao ; Shanying, Lu
Author_Institution
Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China
Volume
1
fYear
2010
fDate
10-11 July 2010
Firstpage
26
Lastpage
29
Abstract
In order to more accurately predict industrial emissions, the paper selected BP and GA-BP neural network to establish the prediction model between the foreign trade and industrial waste discharge. Compared of different forecasting methods and examples of analysis of results, it shows that GA-BP neural network had higher accuracy, tolerant and excellent generalization ability than other model on ecology environment. It provides a guidance to forecast foreign trade environment.
Keywords
backpropagation; ecology; environmental economics; forecasting theory; genetic algorithms; industrial waste; neural nets; waste disposal; BP neural network; eco-environment; forecasting methods; foreign trade; genetic algorithm; industrial waste discharge; Accuracy; Biological cells; Neural networks; GA-BP; eco-environment; foreign trade;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-7860-6
Type
conf
DOI
10.1109/INDUSIS.2010.5565921
Filename
5565921
Link To Document