Science Research Management ›› 2016, Vol. 37 ›› Issue (8): 153-160.

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Research on china coal mine safety evaluation based on BP neural network

Meng Chao1, Hu Jian2   

  1. 1. School of Economics and Management, Northwest University, Xi’an 710069, Shaanxi, China;
    2. Xi’an University of Finance and Economics, Xi’an 710100, Shaanxi, China
  • Received:2015-10-29 Revised:2016-02-16 Online:2016-08-20 Published:2016-08-17

Abstract: Including security of supply and the use of safety,construction of coal mine safety evaluation system from resources,supply and demand, transport, disaster, environmental, market, using BP neural network empirical analysis.The research shows:With BP neural network in nonlinear complex systems simulation capability efficient and reverse output advantages,the accuracy of empirical analysis is high,simulation and prediction is simple and feasible. Although the rich resources and the high level of self-sufficiency to ensure the safety of coal supply,CO2 and SO2 emissions cause serious environmental problems and the greenhouse effect, making the use of safety is still the focus of coal safety concern.We need to take effective measures to reduce the proportion of coal in the energy structure and enhance the share of power coal consumption,develop clean coal technology.

Key words:  BP neural network, coal safety, empirical analysis