The application BP neural network improved and fuzzy quality synthetic on thermal power company simulation decision

Abstract

Under the market economy condition, thermal power company simulation decision 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 analogy 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 thermal power company simulation decision. © 2013 Springer Science+Business Media.