Prediction method of coal and gas outburst using the grey theory and neural network

GUO Deyong; LI Nianyou; PEI Dawen; ZHENG Dengfeng

doi:10.13374/j.issn1001-053x.2007.04.002

Volume 29 Issue 4

Aug. 2021

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GUO Deyong, LI Nianyou, PEI Dawen, ZHENG Dengfeng. Prediction method of coal and gas outburst using the grey theory and neural network[J]. Chinese Journal of Engineering, 2007, 29(4): 354-357. doi: 10.13374/j.issn1001-053x.2007.04.002

Citation:

GUO Deyong, LI Nianyou, PEI Dawen, ZHENG Dengfeng. Prediction method of coal and gas outburst using the grey theory and neural network[J]. Chinese Journal of Engineering, 2007, 29(4): 354-357. doi: 10.13374/j.issn1001-053x.2007.04.002

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Prediction method of coal and gas outburst using the grey theory and neural network

doi: 10.13374/j.issn1001-053x.2007.04.002

1. Resource and Safety Engineering School, China University of Mining and Technology(Beijing), Beijing 100083, China;
2. Sichuan Weitian Mine Safety Science and Technology Evaluate and Consultation Co., Chengdu 610083, China;
3. Pingdingshan Coal(group) Co.Ltd., Pingdingshan 467000, China

Received Date: 2006-11-07
Rev Recd Date: 2006-12-09

Available Online: 2021-08-16

Abstract

Abstract

The grey theory and neural network method were applied to coal and gas outburst forecast. Main controlling factors of coal and gas outburst were filtered by the grey correlation method of the grey system theory. The mathematical model and systematic structure of artificial neural network were founded to forecast the risk of coal and gas outburst. The effectiveness of the risk forecast in the outburst zone of Pingdingshan No. 8 Coal Mine was demonstrated the grey theory and neural artificial network as a new means is available.
- coal and gas outburst,
- outburst forecast,
- gray relevancy,
- artificial neural network