DocumentCode :
3568108
Title :
Information fusion technology based on T-S Fuzzy neural network for coal mine gas prediction
Author :
Jinpeng Li ; Li Gao
Author_Institution :
Dept. of Mech. Electron., Huainan Union Univ., Huainan, China
Volume :
1
fYear :
2012
Firstpage :
202
Lastpage :
205
Abstract :
T-S Fuzzy neural network is combined fuzzy logic with neural network. It not only has the ability of fuzzy reasoning, but also has the ability of strong learning. A new fusion method based on T-S fuzzy neural network is present to prediction of coal mine gas in this paper. The nonlinear relationships between factors infected the gas concentration are studied. It can master and capture the internal connection between each factor to realize prediction by using network sample learning. Simulations results indicate that the method which is used in coal mine gas prediction is practicable and effective.
Keywords :
accident prevention; coal; fuzzy neural nets; fuzzy reasoning; learning (artificial intelligence); mining; production engineering computing; sensor fusion; T-S fuzzy neural network; coal mine gas prediction; fuzzy logic; fuzzy reasoning; gas concentration; information fusion technology; learning ability; nonlinear relationships; safety prediction; Cola Mines Gas; Fuzzy Neural Network; Information Fusion; Safety Prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6491635
Filename :
6491635
Link To Document :
بازگشت