• DocumentCode
    2542764
  • Title

    Research on appraising indicator system of economic security for the coal cities

  • Author

    Jin, Yingji ; Chen, Yan

  • Author_Institution
    Coll. of Econ. & Manage., Heilongjiang Inst. of Sci. & Technol., Harbin, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    329
  • Lastpage
    331
  • Abstract
    Economic security has been a serious problem which threatens and hampers the sustainable growth of the economy. The paper sets up appraising indicator system of economic security on the basis of PSR model, and researches economic security for 21 coal cities by using BP artificial neural net. As innovation of researching economic security, BP artificial neural net has the better ability in level identification, and has application in researching economic security of cities. The conclusion was drawn that the economic security level identification of coal cities was low, and economic security level showed a more regional characteristic.
  • Keywords
    backpropagation; coal; economic cycles; economic indicators; mining industry; neural nets; BP artificial neural net; appraising indicator system; coal cities; economic security level identification; sustainable economy growth; Aerospace industry; Appraisal; Artificial neural networks; Beverage industry; Cities and towns; Economic indicators; Environmental economics; Industrial economics; Security; Water resources; BP artificial neural; coal cities; economic security; net appraising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477566
  • Filename
    5477566