DocumentCode
512396
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
Volume
1
fYear
2009
fDate
28-29 Nov. 2009
Firstpage
300
Lastpage
303
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4606-3
Type
conf
DOI
10.1109/PACIIA.2009.5406431
Filename
5406431
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