• DocumentCode
    526911
  • 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
  • Volume
    1
  • fYear
    2010
  • fDate
    10-11 July 2010
  • Firstpage
    26
  • Lastpage
    29
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (IIS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7860-6
  • Type

    conf

  • DOI
    10.1109/INDUSIS.2010.5565921
  • Filename
    5565921