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
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;
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
DOI :
10.1109/ICCA.2009.5410521
