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Prediction Strategy of Coal and Gas Outburst Based on Artificial Neural Network
Journal Title Journal of Computers
Journal Abbreviation jcp
Publisher Group Academy Publisher
Website http://ojs.academypublisher.com
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Title Prediction Strategy of Coal and Gas Outburst Based on Artificial Neural Network
Authors Liu, Weizhe; Wang, Fuzhong
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 high-technology, 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 non-linear 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.
Publisher ACADEMY PUBLISHER
Date 2013-01-01
Source Journal of Computers Vol 8, No 1 (2013): Special Issue: Parallel Architecture, Algorithms and Programming
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