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In this paper, the method of gray theory-BP Neural network was proposed and applied to predict the amount of gas gushing. It has established prediction model and realized the algorithm. And the proposed method has been compared with simple using the GM (1,1) model and simple using the BP neural network model to predict. The example shows that this method is relatively more accurate than simply using GM (1,1) model or simply using the BP neural network model, and this method of predicting the amount of gas gushing is feasible.
Published in:
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
(Volume:2
)
Date of Conference: 24-26 April 2009
- Page(s):
- 385 - 387
- Print ISBN:
- 978-0-7695-3605-7
- INSPEC Accession Number:
- 10817827
- Conference Location :
- Sanya, Hainan
- Digital Object Identifier :
- 10.1109/CSO.2009.421
- Product Type:
- Conference Publications
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