·1316· 工程科学学报，第40卷，第11期 (4):85 中的应用.煤炭学报，2007,32(10)：1023) (桂祥友，郁钟铭。基于模糊聚类关联分析法的煤与瓦斯突出 [16]Morteza Z,Reza F M,Seddig MM,et al.Selection of the opti- 程度分析.安全与环境学报，2006,6(4)：85) mal tourism site using the ANP and fuzzy TOPSIS in the frame- [9]Yin CZ,Li M H,Li W P,et al.Model of coal gas permeability work of integrated coastal zone management;a case of qeshm is- prediction based on improved BP neural network.China Coal land.Ocean Coastal Manage,2016,130:179 Soc,2013,38(7):1179 [17]Wang Y,Zhang C,Jiang G P.Priority-sequence of mineral (尹光志，李铭辉，李文璞，等.基于改进BP神经网络的煤体 resources'development and utilization based on grey relational a- 瓦斯渗透率预测模型.煤炭学报，2013,38(7)：1179) nalysis method.Int J Min Sci Technol,2016,26(3):395 [10]Shi S L,Wu A Y.Study on area forecast of coal and gas outburst [18]Guo D Y,Li N Y,Pei D W,et al.Prediction method of coal based on coupling of neural network and genetic algorithm.Eng and gas outburst using the grey theory and neural network./Unir Sci,2009,11(9):91 Sci Technol Beijing.2007,29(4):354 (施式亮，伍爱友.基于神经网络与遗传算法耦合的煤与瓦 (郭德勇，李念友，裴大文，等.煤与瓦斯突出预测灰色理 斯突出区域预测研究.中国工程科学，2009,11(9)：91) 论-神经网络方法.北京科技大学学报，2007,29(4)：354) [11]Zhu Y,Zhang H.Su C.Coal and gas outburst forecasting based [19] Zhang T G.Prediction and control of coal and gas outburst in on immune genetic algorithm.China Unie Min Technol,2009, Pingdingshan mining area.J China Coal Soc,2001,26(2): 38(1):125 172 (朱玉，张虹，苏成.基于免疫遗传算法的煤与瓦斯突出预 (张铁岗.平顶山矿区煤与瓦斯突出的预测及防治.煤炭学 测研究.中国矿业大学学报，2009,38(1)：125) 报，2001,26(2)：172) [12]Sun D L,Dong G F.Liang Y P.Influence of the determination [20]Jiang W P,Song X Z,Zhong L W.Research on the pore proper- of the critical value of coal and gas outburst prediction index on ties of different coal body structure coals and the effects on gas the accuracy rate of the prediction.J China Coal Soc,2001,26 outburst based on the low-temperature nitrogen adsorption meth- (1):71 od.J China Coal Soc,2011,36(4):609 (孙东玲，董钢峰，梁运培.煤与瓦斯突出预测指标临界值 (降文萍，宋孝忠，钟玲文.基于低温液氮实验的不同煤体 的选取对预测准确率的影响.煤炭学报，2001,26(1)：71) 结构煤的孔隙特征及其对瓦斯突出影响.煤炭学报，2011， 13]Wang L F.The theory and algorithm of analytic network process. 36(4):609) Syst Eng Theory Pract,2001,21(3):44 [21]Sun D L,Hu Q T,Miao FT.Motion state of coal-gas flow in the (王莲芬.网络分析法(ANP)的理论与算法.系统工程理论 process of outburst.J China Coal Soc,2012,37(3):452 与实践，2001,21(3)：44) (孙东玲，胡千庭，苗法田.煤与瓦斯突出过程中煤-瓦斯两 [14]Wang C,Song D Z,Du X S,et al.Prediction of coal and gas 相流的运动状态.煤炭学报，2012,37(3)：452) outburst based on distance discriminant analysis method and its [22]Xu L H,Jiang C L.Initial desorption characterization of methane application.J Min Saf Eng,2009,26(4):470 and carbon dioxide in coal and its influence on coal and gas out- (王超，宋大钊，杜学胜，等。煤与瓦斯突出预测的距离判别 burst risk.Fuel,2017,203:700 分析法及应用.采矿与安全工程学报，2009,26(4)：470) [23]Guo D Y,Guo D X,Zhang J G.Research on the occurrence and [15]Zhang F Y,Han Y.Application of grey relevancy analysis meth- distribution of structural coal in Pingdingshan coal district.Chi- od in index optimization of outburst forecast when a cross-cut is na Coal Soc,2002,27(3):249 uncovered.J China Coal Soc,2007,32(10):1023 (郭德勇，韩德馨，张建国.平顶山矿区构造煤分布规律及 (张飞燕，韩颖.灰关联方法在石门揭煤突出预测指标优选 成因研究.煤炭学报，2002,27(3)：249)工程科学学报,第 40 卷,第 11 期 (4): 85 (桂祥友, 郁钟铭. 基于模糊聚类关联分析法的煤与瓦斯突出 程度分析. 安全与环境学报, 2006, 6(4): 85) [9] Yin G Z, Li M H, Li W P, et al. Model of coal gas permeability prediction based on improved BP neural network. J China Coal Soc, 2013, 38(7): 1179 (尹光志, 李铭辉, 李文璞, 等. 基于改进 BP 神经网络的煤体 瓦斯渗透率预测模型. 煤炭学报, 2013, 38(7): 1179) [10] Shi S L, Wu A Y. Study on area forecast of coal and gas outburst based on coupling of neural network and genetic algorithm. Eng Sci, 2009, 11(9): 91 (施式亮, 伍爱友. 基于神经网络与遗传算法耦合的煤与瓦 斯突出区域预测研究. 中国工程科学, 2009, 11(9): 91) [11] Zhu Y, Zhang H, Su C. Coal and gas outburst forecasting based on immune genetic algorithm. J China Univ Min Technol, 2009, 38(1): 125 (朱玉, 张虹, 苏成. 基于免疫遗传算法的煤与瓦斯突出预 测研究. 中国矿业大学学报, 2009, 38(1): 125) [12] Sun D L, Dong G F, Liang Y P. Influence of the determination of the critical value of coal and gas outburst prediction index on the accuracy rate of the prediction. J China Coal Soc, 2001, 26 (1): 71 (孙东玲, 董钢峰, 梁运培. 煤与瓦斯突出预测指标临界值 的选取对预测准确率的影响. 煤炭学报, 2001, 26(1): 71) [13] Wang L F. The theory and algorithm of analytic network process. Syst Eng Theory Pract, 2001, 21(3): 44 (王莲芬. 网络分析法(ANP)的理论与算法. 系统工程理论 与实践, 2001, 21(3): 44) [14] Wang C, Song D Z, Du X S, et al. Prediction of coal and gas outburst based on distance discriminant analysis method and its application. J Min Saf Eng, 2009, 26(4): 470 (王超, 宋大钊, 杜学胜, 等. 煤与瓦斯突出预测的距离判别 分析法及应用. 采矿与安全工程学报, 2009, 26(4): 470) [15] Zhang F Y, Han Y. Application of grey relevancy analysis meth鄄 od in index optimization of outburst forecast when a cross鄄cut is uncovered. J China Coal Soc, 2007, 32(10): 1023 (张飞燕, 韩颖. 灰关联方法在石门揭煤突出预测指标优选 中的应用. 煤炭学报, 2007, 32(10): 1023) [16] Morteza Z, Reza F M, Seddiq M M, et al. Selection of the opti鄄 mal tourism site using the ANP and fuzzy TOPSIS in the frame鄄 work of integrated coastal zone management: a case of qeshm is鄄 land. Ocean Coastal Manage, 2016, 130: 179 [17] Wang Y, Zhang C, Jiang G P. Priority鄄sequence of mineral resources蒺 development and utilization based on grey relational a鄄 nalysis method. Int J Min Sci Technol, 2016, 26(3): 395 [18] Guo D Y, Li N Y, Pei D W, et al. Prediction method of coal and gas outburst using the grey theory and neural network. J Univ Sci Technol Beijing, 2007, 29(4): 354 (郭德勇, 李念友, 裴大文, 等. 煤与瓦斯突出预测灰色理 论鄄鄄神经网络方法. 北京科技大学学报, 2007, 29(4): 354) [19] Zhang T G. Prediction and control of coal and gas outburst in Pingdingshan mining area. J China Coal Soc, 2001, 26 ( 2 ): 172 (张铁岗. 平顶山矿区煤与瓦斯突出的预测及防治. 煤炭学 报, 2001, 26(2): 172) [20] Jiang W P, Song X Z, Zhong L W. Research on the pore proper鄄 ties of different coal body structure coals and the effects on gas outburst based on the low鄄temperature nitrogen adsorption meth鄄 od. J China Coal Soc, 2011, 36(4): 609 (降文萍, 宋孝忠, 钟玲文. 基于低温液氮实验的不同煤体 结构煤的孔隙特征及其对瓦斯突出影响. 煤炭学报, 2011, 36(4): 609) [21] Sun D L, Hu Q T, Miao F T. Motion state of coal鄄gas flow in the process of outburst. J China Coal Soc, 2012, 37(3): 452 (孙东玲, 胡千庭, 苗法田. 煤与瓦斯突出过程中煤鄄鄄瓦斯两 相流的运动状态. 煤炭学报, 2012, 37(3): 452) [22] Xu L H, Jiang C L. Initial desorption characterization of methane and carbon dioxide in coal and its influence on coal and gas out鄄 burst risk. Fuel, 2017, 203: 700 [23] Guo D Y, Guo D X, Zhang J G. Research on the occurrence and distribution of structural coal in Pingdingshan coal district. J Chi鄄 na Coal Soc, 2002, 27(3): 249 (郭德勇, 韩德馨, 张建国. 平顶山矿区构造煤分布规律及 成因研究. 煤炭学报, 2002, 27(3): 249) ·1316·