DocumentCode :
527243
Title :
The forecast method of gas gushing based on the grey BP neural network
Author :
Xiao, Liu ; Yuting, Rou
Author_Institution :
Sch. of Energy Sci. & Eng., Henan Polytech. Univ., Jiaozuo, China
Volume :
1
fYear :
2010
fDate :
17-18 July 2010
Firstpage :
406
Lastpage :
408
Abstract :
The gas gushing influenced by many factors and the trend is complex, it is difficult to establish the mathematical model to predict accurately. This study proposed based on grey dynamic model of artificial neural network, organic combination of intelligent analysis method, a grey neural network combination forecast model. This model can weaken effectively the grey forecast data sequences of the advantages and the volatility of the strong nonlinear neural network adaptive ability and make gas gushing forecast precision improved.
Keywords :
backpropagation; coal; grey systems; mining industry; neural nets; BP neural network; adaptive ability; forecast method; gas gushing; grey dynamic model; intelligent analysis method; mathematical model; forecasting; gas gushing; grey theory; model; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
Type :
conf
DOI :
10.1109/ESIAT.2010.5568542
Filename :
5568542
Link To Document :
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