DocumentCode
3430744
Title
The assessment of environment effect of foreign trade based on BP neural network
Author
Zhao, Jianna ; Lu, Shanying
Author_Institution
Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
1354
Lastpage
1358
Abstract
In order to forecast industrial-waste-emissions much more accurate, a hybrid system to improve the precision of forecasting, which is the BP neural network. At first, we cluster the data of the export products and industrial-waste-emissions in China. And then, the data is used to develop classification rules and trains BP neural network. It was also proved that the model was feasible and easy to use and had high accuracy.
Keywords
backpropagation; foreign exchange trading; neural nets; BP neural network; classification rules; data clustering; environment effect; export products; forecasting; foreign trade; hybrid system; industrial-waste-emissions; Automatic control; Automation; Control systems; Economic forecasting; Electrical equipment industry; Industrial control; Macroeconomics; Mathematical model; Neural networks; Signal processing; BP Neural Network; Environment; Model Foreign-Trade;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location
Christchurch
Print_ISBN
978-1-4244-4706-0
Electronic_ISBN
978-1-4244-4707-7
Type
conf
DOI
10.1109/ICCA.2009.5410521
Filename
5410521
Link To Document