Prediction and Governance of Mine Gas Emission

Yi Wen Liu; Yi Cao; Lin Zhang; Ming Chuan Meng

doi:10.4028/www.scientific.net/AMM.419.500

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 419Prediction and Governance of Mine Gas Emission

Prediction and Governance of Mine Gas Emission

Abstract:

Coal mining gas emission constrained by many factors, considering the eight main factors of gas emission. The first gas emission data are normalized, avoid data overflow to improve the training speed of neural network. Then use BP neural network to predict the amount of mine gas emission, finally proposed gas emission control measures.

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Periodical:

Applied Mechanics and Materials (Volume 419)

Pages:

500-504

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.419.500

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Online since:

October 2013

Authors:

Yi Wen Liu, Yi Cao, Lin Zhang, Ming Chuan Meng

Keywords:

Control Measure, Gas Emission, Neural Network (NN), Normalization

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