DocumentCode :
496140
Title :
Evaluation Method of Coal Mine Production Safety Based on BP Neural Network
Author :
Sun Gang ; Zhang Ruixin ; Luo Fen ; Sun Kelei ; Huang Xiaoming
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
Volume :
1
fYear :
2009
fDate :
25-26 July 2009
Firstpage :
514
Lastpage :
517
Abstract :
Based on the theory of system engineering, coal mine production safety has been analyzed. From workers, production process, coal production and economy, coal mine production safety evaluation indexes have been confirmed, and then the BP neural network model of coal mine production safety evaluation has been built. After training and testing the model, the model can accurately evaluate the coal mine production safety. It is of great guiding significance for coal mine production safety.
Keywords :
backpropagation; coal; mining industry; neural nets; production engineering computing; safety; BP neural network; artificial intelligence; coal mine production safety; coal production; production process; Artificial neural networks; Information technology; Mean square error methods; Neural networks; Neurons; Product safety; Production systems; Railway safety; Sun; Systems engineering and theory; BP neural network; artificial intelligence; coal mine production safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-0-7695-3688-0
Type :
conf
DOI :
10.1109/ITCS.2009.112
Filename :
5190124
Link To Document :
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