Coal mine safety production forewarning based on improved BP neural network

[1]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[2]  Qing-liang Chang,et al.  Using particle swarm optimization algorithm in an artificial neural network to forecast the strength of paste filling material , 2008 .

[3]  Guo De-yong.  Early warning of coal and gas outburst by GIS and neural network , 2009 .

[4]  Shao Liang-shan.  Disaster prediction of coal mine gas based on rough set theory , 2009 .

[5]  Song Bai-chao,et al.  Pre-evaluation method of coal mine safety based on continental distance model with varying weight , 2009 .

[6]  Sun Yan-bin,et al.  Theory and practice of coal mine accident hidden danger monitoring and early warning , 2009 .

[7]  Jin Zhu.  Application of ant colony clustering algorithm in analysis of man-made accidents on mine safety assessment , 2009 .

[8]  Tuo zhong,et al.  Improved BP Neural Network's Application in the Bank Early Warning , 2011 .

[9]  Wei Duan,et al.  An Improved BP Neural Networks Applied To Classification , 2011 .

[10]  Wang Li-jie,et al.  Study on safety early-warning assessment in coal mine based on bp neural networks , 2011 .

[11]  Zhao Ke.  Study on Coal Mine Safety Warning and Evaluation Based on Genetic Neural Network , 2012 .

[12]  Zheng Xie,et al.  An Improved BP Neural Network based on IPSO and Its Application , 2013, J. Comput..

[13]  Junfeng Wang,et al.  Gas diffusion in a cylindrical coal sample – A general solution, approximation and error analyses , 2014 .

[14]  Lei Tong,et al.  Simulation study of coal mine safety investment based on system dynamics , 2014 .