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
Link To Document