Title :
The assessment of environment effect of foreign trade based on BP neural network and multipe linear regression
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, we choose BP neural network and multiple linear regression to improve the precision of forecasting. The results of this comparison is that the BP neural network is distinctly superior. It was also proved that the model was feasible and easy to use, and had high accuracy.
Keywords :
backpropagation; environmental factors; industrial waste; neural nets; regression analysis; BP neural network; environment effect assessment; foreign trade; industrial waste emissions forecasting; multipe linear regression; Computational intelligence; Computer industry; Electrical equipment industry; Fluctuations; Industrial control; Linear regression; Neural networks; Parallel processing; Predictive models; Time series analysis; BP Neural Network; Environment; Model Foreign; Multipe Linear Regression;
Conference_Titel :
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4606-3
DOI :
10.1109/PACIIA.2009.5406431
