DocumentCode :
1836862
Title :
Research on Coal Mine Safety Risk Assessment Based on ART-2 Neural Network
Author :
Guangrong Li
Author_Institution :
Sch. of Manage., China Univ. of Min. & Technol. (Beijing), Beijing, China
Volume :
2
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
424
Lastpage :
428
Abstract :
This paper aims at applying ART-2 neural network algorithm on the research of coal mine safety risk assessment and finally obtains good empirical results by taking some coal mines as the study sample. The results show that the ART-2 neural network algorithm is an appropriate method to assess the safety risk of coal mine. The analysis of empirical results is consistent with the actual situation.
Keywords :
ART neural nets; accident prevention; coal; mining industry; risk analysis; ART-2 neural network algorithm; coal mine safety risk assessment; coal mines; Accidents; Coal; Coal mining; Indexes; Neural networks; Production; Safety; ART-2 algorithm; coal mine; neural network; safety risk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.248
Filename :
6642776
Link To Document :
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