[an error occurred while processing this directive]

Modern Mining ›› 2011, Vol. 27 ›› Issue (07): 10-12.

Previous Articles     Next Articles

Application of BP Neural Network in the Proportion of Similar Materials of Mining Subsidence

Wang Mingzhu1,2,3，Guo Guangli1,2,3，Zha Jianfeng1,2,3，Wang Lei1,2，Wang Qiang1,2,3   

  1. 1.School of Environment Science and Spatial Informatics,China University of Mining and Technology；2.Jiangsu Key Laboratory of Resources and Environmental Information Engineering；3.Key Laboratory for Land Environment and Disaster Monitoring of SBSM
  • Online:2011-07-13 Published:2011-07-14

Abstract: The similar material model test is one important research method to study the mining subsidence mechanism,and similar material proportion is the key factor to achieve a reliable similar material model.Similar material proportion confirmed by traditional test method is time-consuming and laborious.A BP neural network model for similar material proportion was established based on the table of similar material proportion.33 groups of experimental data were used as training and testing samples,and the maximum relative error of model prediction was 7.39%.The result shows that the BP neural network model can basically reflect the inner influence rules between similar materials' compression and tensile strength and their proportion.It is feasible to predict the similar materials proportion by this model.

Key words: BP neural network, Mining subsidence, Model test, Similar material, Proportion