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