DocumentCode :
2763148
Title :
The Application BP Neural Network Improved and Fuzzy Quality Synthetic on Electric Power Business Economic Benefit
Author :
Liu, Shuliang ; Bai, Yanling ; Zou, Congyi
Author_Institution :
Economic Manage. Dept., North China Electr. Power Univ., Baoding, China
Volume :
2
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
369
Lastpage :
372
Abstract :
Under of the market economy condition, enterprise´s economic efficiency is one of factors determining the enterprise survival and development, and is playing more and more vital role. Therefore, as one kind of advanced productive forces and the basic industry, the electric power enterprise´s economic efficiency has promotion effect on promoting the national economy development and the social progress, also became a matter which the investor and produces the operator concerned. In order to make the correct decision-making by the investor and the operator and promote the national economy fast growth, this article constructs the evaluating indicator system which sets several reasonable economic efficiencies, and has used the BP neural network and fuzzy quality synthetic to analoy the electric power enterprise´s economic efficiency of several provinces, Thus helping enterprise find the potential or insufficient in the implementation of enhancing in the economic efficiency activity, learning the lessons, flawing the atonement, it is important to promote enterprise´s economic efficiency.
Keywords :
Appraisal; Economic indicators; Energy management; Environmental economics; Fuzzy neural networks; Industrial economics; Industrial relations; Neural networks; Power generation economics; Power system economics; BP neural network; Economic efficiency; Electric power enterprise; Fuzzy appraisal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-0-7695-3972-0
Electronic_ISBN :
978-1-4244-5924-7
Type :
conf
DOI :
10.1109/CESCE.2010.170
Filename :
5493304
Link To Document :
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