Intensity of Coal and Gas Outburst Prediction Model Based on the Improved BP Neural Network

Long Kong

doi:10.4028/www.scientific.net/AMR.1044-1045.1190

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Intensity of Coal and Gas Outburst Prediction...

Intensity of Coal and Gas Outburst Prediction Model Based on the Improved BP Neural Network

Abstract:

Coal and gas outburst has become one of the major disaster hazard of coal mine safety, Staff on gas outburst disaster prevention is now important research project. The gas outburst prediction work, different degrees of factors has some impact on forecast accuracy, such as logical reasoning efficiency is low. This paper, by using the BP neural network combined with gas outburst samples a prediction model is established, According to the data of a certain coal mine as a sample, Using MATLAB software to simulation test, have been predicted and actual values fitting degree is higher, Can reflect the realities of the coal and gas outburst.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

1190-1193

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.1190

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Online since:

October 2014

Authors:

Long Kong*

Keywords:

BP Neural Network (BPNN), Coal Outburst, Gas Outburst, MATLAB, Prediction Model

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* - Corresponding Author

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