Paper Title:
Early Warning Model of Enterprise Operating Ability Using BP Neural Network
  Abstract

With the increasing risk in electric power bureaus, warning risk of enterprise operating ability in advance is an important work. However it is very difficult to establish stable functions to describe the mapping relationship between operating ability and associated causal influences. Hence, early warning of the operating ability is harder. In this paper, an early warning model based on BP neural network is designed and put forward to forecast the risk of operating ability of an electric power bureau. In addition, illustration by the experiment is given. The stable and accurate analysis result of the experiment shows that this early warning model is applicable to forecast the risk of operating ability of electric power bureaus.

  Info
Periodical
Edited by
Qi Luo
Pages
948-953
DOI
10.4028/www.scientific.net/AMM.20-23.948
Citation
M. Y. Wang, J. Chen, X. L. Shen, G. L. Yu, "Early Warning Model of Enterprise Operating Ability Using BP Neural Network", Applied Mechanics and Materials, Vols. 20-23, pp. 948-953, 2010
Online since
January 2010
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