Volume 8 Number 1 (Jan. 2013)
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JCP 2013 Vol.8(1): 240-247 ISSN: 1796-203X
doi: 10.4304/jcp.8.1.240-247

Prediction Strategy of Coal and Gas Outburst Based on Artificial Neural Network

Fuzhong Wang and Weizhe Liu
Department of Electrical Engineering and Automation of Henan Polytechnic University, Jiaozuo, China

Abstract—The article describes the research of coal and gas outburst prediction technology and the new problems they face in the modern mining. It also describes the superiority of neural network technology in dealing with complex geological conditions. It refers to the possibility and necessity of combination of the coal and gas outburst prediction and artificial neural networks, and other hightechnology, There are examples show that they can be applied to predict the course of coal and gas outburst and gas content .Practice has proved the prediction model that coal and gas outburst forecasting techniques and artificial neural network have established not only considers the various factors and better handle various kinds of the nonlinear relationships in geological conditions ,but also having a forecast of high precision and reliable conclusions and provides a new way about the further development of coal and gas outburst prediction technology.

Index Terms—artificial neural network, coal and gas outburst prediction, gas content

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Cite: Fuzhong Wang and Weizhe Liu, " Prediction Strategy of Coal and Gas Outburst Based on Artificial Neural Network," Journal of Computers vol. 8, no. 1, pp. 240-247, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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