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
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;
Conference_Titel :
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7860-6
DOI :
10.1109/INDUSIS.2010.5565921