[1]于不凡.煤矿瓦斯灾害防治及利用手册[M].修订版.北京:煤炭工业出版社,2005. [2]彭立世,袁崇孚.瓦斯地质与瓦斯突出预测[M].北京:中国科学技术出版社,2009. [3]中华人民共和国国家安全生产监督管理总局.防治煤与瓦斯突出规定[M]. 北京:煤炭工业出版社,2009. [4]郭德勇,李念友,裴大文,等.煤与瓦斯突出预测灰色理论-神经网络方法[J].北京科技大学学报,2007,29(4):354-357. GUO Deyong, LI Nianyou, PEI Dawen, et al. Prediction method of coal and gas outburst using the grey theory and neural network[J]. Journal of University of Science and Technology Beijing, 2007, 29(4):354-357. [5]伍爱友,肖红飞,王从陆,等.煤与瓦斯突出控制因素加权灰色关联模型的建立与应用[J].煤炭学报,2005,30(1):58-62. WU Aiyou, XIAO Hongfei, WANG Conglu, et al. Establishment and application of weights and gray association model based on coal and gas outburst controlled factors assessment[J]. Journal of China Coal Society, 2005, 30(1): 58-62. [6]郭德勇,范金志,马世志,等.煤与瓦斯突出预测层次分析-模糊综合评判方法[J].北京科技大学学报,2007,29(7):660-663. GUO Deyong, FAN Jinzhi, MA Shizhi, et al. Prediction method of coal and gas outburst by analytic hierarchy process and fuzzy comprehensive evaluation[J]. Journal of University of Science and Technology Beijing, 2007, 29(7):660-663. [7]梁冰,秦冰,孙维吉,等.基于综合评判模型的煤与瓦斯突出危险程度预测[J].中国安全生产科学技术,2015,11(7):129-134. LIANG Bing, QIN Bing, SUN Weiji, et al. Prediction on dangerous level of coal and gas outburst based on comprehensive evaluation model [J]. Journal of Safety Science and Technology, 2015, 11(7):129-134. [8]赵旭生.人工神经网络应用于煤与瓦斯突出强度预测的探讨[J].矿业安全与环保,2001,28(4):25-27. ZHAO Xusheng. Application of artificial neural network in forecast of coal and gas outburst intensity[J]. Mining Safety and Environmental Protection, 2001, 28(4):25-27. [9]谭云亮,肖亚勋,孙伟芳.煤与瓦斯突出自适应小波基神经网络辨识和预测模型[J]. 岩石力学与工程学报, 2007, 26(S1):3373-3377. TAN Yunliang, XIAO Yaxun, SUN Weifang. Self-adaptive wavelet neural network for recognizing and predicating outburst of coal and gas[J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(S1): 3373-3377. [10]Zhang R. and Ian S. Lowndes. The application of a coupled artificial neural network and fault tree analysis model to predict coal and gas outbursts, International Journal of Coal Geology, 2010, 84(2): 141-152. [11]He, X., Chen, W., Nie, B. and Zhang, M. Classification technique for danger classes of coal and gas outburst in deep coal mines’, Safety Science, 2010, 48(2): 173-178. [12]张文修,梁怡.遗传算法的数学基础[M].西安:西安交通大学出版社,2000. [13]付强,赵小勇.投影寻踪模型原理及其应用[M].北京:科学出版社,2006. [14]DeJong KA. The analysis of the behavior of a class of genetic adaptive systems[D]. Ann Arbor University of Michigan, 1975. [15]王益伟,罗周全,杨彪,等.基于投影寻踪模型的矿山地下水灾害分级评价[J].中国安全生产科学技术,2014,10(3):41-47. WANG Yiwei, LUO Zhouquan, YANG Biao, et al. Ranking evaluation of groundwater disaster in mine based on projection pursuit model[J]. Journal of Safety Science and Technology, 2014, 10(3):41-47.
[1]马冬娟,李增华,杨永良,等.基于激波理论的新兴煤矿煤与瓦斯突出事故研究[J].中国安全生产科学技术,2012,8(8):69.
MA Dong juan,LI Zeng hua,YANG Yong liang,et al.Research on coal and gas outburst accident of Xinxing coal mine
based on shock wave theory[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(1):69.
[2]郑万成,邓小松,李一波.混合煤样中软分层对煤与瓦斯突出的影响[J].中国安全生产科学技术,2012,8(12):5.
ZHENG Wan cheng,DENG Xiao song,LI Yi bo.Effect of soft layer in the mixed coal on coal and gas outburst[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(1):5.
[3]吴鑫,隆泗.不同煤粒粒级配比下的煤与瓦斯突出实验研究[J].中国安全生产科学技术,2012,8(12):16.
WU Xin,LONG Si.Experimental study on the influence of coal particle size on coal and gas outburst[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(1):16.
[4]石庆礼,杨胜强.数量化理论Ⅲ及其在煤与瓦斯突出危险性评估中的应用[J].中国安全生产科学技术,2013,9(6):69.[doi:10.11731/j.issn.1673-193x.2013.06.013]
SHI Qing li,YANG Sheng qiang.Quantification theory III and its application in the evaluation of coal and gas otburst[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(1):69.[doi:10.11731/j.issn.1673-193x.2013.06.013]
[5]翟盛锐,李忠祥.矿井围岩应力松弛区理论计算与试验研究[J].中国安全生产科学技术,2013,9(7):105.[doi:10.11731/j.issn.1673-193x.2013.07.018]
ZHAI Sheng rui,LI Zhong xiang.Theoretical calculation and experimental research on slack stress zone of surrounding rocks in coal mine[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(1):105.[doi:10.11731/j.issn.1673-193x.2013.07.018]
[6]杨凯,王寿全,范映冲,等.煤与瓦斯突出危险性的未知权重多属性综合评价模型[J].中国安全生产科学技术,2013,9(10):33.[doi:10.11731/j.issn.1673-193x.2013.10.006]
YANG Kai,WANG Shou quan,FAN Ying chong,et al.Unknown weight multiple attribute model for evaluating risk of coal and gas outburst[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(1):33.[doi:10.11731/j.issn.1673-193x.2013.10.006]
[7]张文涛,吕品,孙晓梅,等.张集矿综采工作面瓦斯治理措施及效果分析[J].中国安全生产科学技术,2014,10(1):103.[doi:10.11731/j.issn.1673-193x.2014.01.017]
ZHANG Wen-tao,LV Pin,SUN Xiao-mei,et al.Study on gas control measures and effect analysis in mechanized mining face of Zhang Ji Coal Mine[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(1):103.[doi:10.11731/j.issn.1673-193x.2014.01.017]
[8]王益伟,罗周全,杨彪,等.基于投影寻踪模型的矿山地下水灾害分级评价[J].中国安全生产科学技术,2014,10(3):41.[doi:10.11731/j.issn.1673-193x.2014.03.007]
WANG Yi wei,LUO Zhou quan,YANG Biao,et al.Ranking evaluation of groundwater disaster in mine based on projection pursuit model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(1):41.[doi:10.11731/j.issn.1673-193x.2014.03.007]
[9]杨力,耿纪超,汪克亮.模糊支持向量机在煤与瓦斯突出预测中的研究[J].中国安全生产科学技术,2014,10(4):103.[doi:10.11731/j.issn.1673-193x.2014.04.018]
YANG Li,GENG Ji chao,WANG Ke liang.Research on coal and gas outburst prediction using fuzzy support vector machines[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(1):103.[doi:10.11731/j.issn.1673-193x.2014.04.018]
[10]杨飞龙,蒋承林,孙鑫,等.煤与瓦斯突出影响因素评价分析的模糊层次分析方法*[J].中国安全生产科学技术,2009,5(6):53.
YANG Fei long,JIANG Cheng lin,SUN Xin,et al.Evaluation and analysis influential factors of coal and gas outburst based on fuzzy analytic hierarchy process[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2009,5(1):53.