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 :
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