Self-adaptive wavelet neural network for recognizing and predicating outburst of coal and gas

Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering

Volumn 26, Issue SUPPL. 1, 2007, Pages 3373-3377

  Tan, Yunliang ^a   Xiao, Yaxun ^a   Sun, Weifang ^a  

^a SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Artificial neural network (ANN); Coal and gas outbursts; Mining engineering; Predication; Recognition; Self adaptive wavelet base

Indexed keywords

COAL MINES; JAMMING; MINING ENGINEERING; NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK (ANN); BP NETWORK; COAL GAS OUTBURSTS; COAL SEAM; GEOLOGICAL FAULT; NONLINEAR DYNAMICAL SYSTEM; PREDICATION; RECOGNITION; SELF ADAPTIVE WAVELET BASE;

GAS BURSTS;

EID: 34548364047     PISSN: 10006915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. HE Xueqiu, NIE Baisheng, WANG Enyuan, et al. Electromagnetic emission forecasting technology of coal or rock dynamic disasters in mine[J]. Journal of China Coal Society, 2007, 32(1): 56-59.(in Chinese)
2. NIE Baisheng, HE Xueqi, WANG Enyuan, et al. Present situation and progress trend of prediction technology of coal and gas outbursts[J]. China Safety Science Journal, 2003, 13(6): 40-44.(in Chinese)
3. YANG Lingxiao, SHEN Ying, HOU Guodong, et al. Present situation and progress trend of prediction technology of coal and gas outbursts[J]. Journal of Henan Polytechnic University, 2006, 25(5): 348-350.(in Chinese)
4. XU Tao, TANG Chun'an, SONG Li, et al. Numerical simulation of coupled gas flow in failure process of gassy coal-rock[J]. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(10): 1667-1773.(in Chinese)
5. HARNSON D C. Methane release from actively yielding coal and its implications for yield zone determination[J]. Int. J. Rock Mech. Min. Sci. and Geomech. Abstr., 1990, 27(3): 175-187.
6. KLAUS N. Control of gas emission in underground coal mines[J]. International Journal of Coal Geology, 1998, 35(1): 57-82.
7. DIAZ A, MARIA B, GONZALEZ N C. Control and prevention of gas outburst in coal mines, Riosa-Olloniego coalfield, Spain[J]. International Journal of Coal Geology, 2007, 69(4): 253-266.
8. SA Zhanyou, HE Xueqiu, WANG Enyuan. Study on the electromagnetic emission neural network forecasting method of coal and gas outbursts of working face[J]. Journal of China Coal Society, 2004, 29(10): 563-568.(in Chinese)
9. WEI Aizhu, WANG Kai, WU Yongsheng. Predicative study on coal and gas outbursts intensity based on GA-BP compound algorithm[J]. Mining Safety and Environmental Protection, 2006, 33(4): 4-7.(in Chinese)
10. HAO Jisheng. Application of improverd BP network in prediction of coal and gas outbursts[J]. Journal of Liaoning Technical University, 2004, 23(1): 9-11.(in Chinese)
11. XIAO Hongfei, HE Xueqiu, LIU Liming. Application of modified BP neural network in predicting coal and gas outbursts[J]. China Safety Science Journal, 2003, 13(9): 59-62.(in Chinese)
12. MEULEKAMP F. Application of neural networks for the protection of unconfined compressive strength (UCS) from Equotip hardness[J]. Int. J. Rock Mech. Min. Sci. and Geomech. Abstr., 1999, 36(1): 29-39.
13. GUO Ruiqing, MUHTAR Zari, LIU Xinxi. Stability evaluation method of rock mass slope based on adaptive neural network based fuzzy interference system[J]. Chinese Journal of Rock Mechanics and Engineering, 2006, 25(Supp.1): 2785-2789.(in Chinese)
14. LIU Minggui, YUE Xianghong. Analysis of bolts anchoring quality based on wavelet neural network[J]. Chinese Journal of Rock Mechanics and Engineering, 2006, 25(1): 83-87.(in Chinese)
15. ZHAO Xusheng, WANG Shanhai. Application of artificial neural network to forecast intensity of coal and gas outbursts in mine[J]. Coal Geology and Exploration, 2002, 30(2): 23-25.(in Chinese)