[1]王兆丰,王龙,董家昕,等.冷冻取芯过程含瓦斯煤样温度场演化规律模拟研究[J].煤炭学报,2021,46(1):199-210.
WANG Zhaofeng,WANG Long,DONG Jiaxin,et al.Simulation on the temperature evolution law of coal containing gas in the freezing coring process[J].Journal of China Coal Society,2021,46(1):199-210.
[2]蔺亚兵,秦勇,王兴,等.彬长低阶煤高瓦斯矿区瓦斯地质及其涌出特征[J].煤炭学报,2019,44(7):2151-2158.
LIN Yabing,QIN Yong,WANG Xing,et al.Geology and emission of mine gas in Binchang mining area with low rank coal and high mine gas[J].Journal of China Coal Society,2019,44(7):2151-2158.
[3]郑晓亮,来文豪,薛生.MI和SVM算法在煤与瓦斯突出预测中的应用[J].中国安全科学学报,2021,31(1):75-80.
ZHENG Xiaoliang,LAI Wenhao,XUE Sheng.Application of MI and SVM in coal and gas outburst prediction[J].China Safety Science Journal,2021,31(1):75-80.
[4]ZHANG R L,LOWNDES I S.The application of a coupled artificial neural network and fault tree analysis model to predict coal and gas outbursts[J].International Journal of Coal Geology,2010,84(2):141-152.
[5]MENG Q,MA X P,ZHOU Y.Forecasting of coal seam gas content by using support vector regression based on particle swarm optimization[J].Journal of Natural Gas Science and Engineering,2014,21:71-78.
[6]魏国营,裴蒙.基于PCA-AHPSO-SVR的煤层瓦斯含量预测研究[J].中国安全生产科学技术,2019,15(3):69-74.
WEI Guoying,PEI Meng.Prediction of coal seam gas content based on PCA-AHPSO-SVR[J].Journal of Safety Science and Technology,2019,15(3):69-74.
[7]林海飞,高帆,严敏,等.煤层瓦斯含量PSO-BP神经网络预测模型及其应用[J].中国安全科学学报,2020,30(9):80-87.
LIN Haifei,GAO Fan,YAN Min,et al.Study on PSO-BP neural network prediction method of coal seam gas content and its application[J].China Safety Science Journal,2020,30(9):80-87.
[8]汪吉林,翟建廷,秦勇,等.淮北许疃矿抽采后瓦斯含量损失影响因素分析及预测[J].煤炭学报,2019,44(8):2401-2408.
WANG Jilin,ZHAI Jianting,QIN Yong,et al.Influencing factors analysis and prediction of the loss of gas content after gas drainage in Xutuan mine of Huaibei[J].Journal of China Coal Society,2019,44(8):2401-2408.
[9]曹博,白刚,李辉.基于PCA-GA-BP神经网络的瓦斯含量预测分析[J].中国安全生产科学技术,2015,11(5):84-90.
CAO Bo,BAI Gang,LI Hui.Prediction of gas content based on PCA-GA-BP neural network[J].Journal of Safety Science and Technology,2015,11(5):84-90.
[10]温廷新,靳露露.基于预处理的IFOA-ELM煤与瓦斯突出预测模型[J].中国安全科学学报,2020,30(1):35-41.
WEN Tingxin,JIN Lulu.IFOA-ELM prediction model of coal and gas outburst based on preprocessing[J].China Safety Science Journal,2020,30(1):35-41.
[11]付华,谢森,徐耀松,等.基于ACC-ENN算法的煤矿瓦斯涌出量动态预测模型研究[J].煤炭学报,2014,39(7):1296-1301.
FU Hua,XIE Sen,XU Yaosong,et al.Gas emission dynamic prediction model of coal mine based on ACC-ENN algorithm[J].Journal of China Coal Society,2014,39(7):1296-1301.
[12]温正,孙华克.MATLAB智能算法[M].北京:清华大学出版社,2017.
[13]许国根,赵后随,黄智勇.最优化方法及其MATLAB实现[M].北京:北京航空航天大学出版社,2018.
[14]WU Y Q,GAO R L,YANG J Zh.Prediction of coal and gas outburst:a method based on the BP neural network optimized by GASA[J].Process Safety and Environmental Protection,2020,133:64-72.
[15]肖鹏,谢行俊,双海清,等.基于KPCA-CMGANN算法的瓦斯涌出量预测研究[J].中国安全科学学报,2020,30(5):39-47.
XIAO Peng,XIE Xingjun,SHUANG Haiqing,et al.Prediction of gas emission quantity based on KPCA-CMGANN algorithm[J].China Safety Science Journal,2020,30(5):39-47.
[16]雷东记,张子敏,张玉贵.九里山矿煤与瓦斯突出地质控制因素及突出区预测[J].煤矿安全,2009,40(5):88-90,93.
LEI Dongji,ZHANG Zimin,ZHANG Yugui.Geological factors analysis and forecast of coal and gas outburst in Jiulishan mine[J].Safety in Coal Mines,2009,40(5):88-90,93.
[17]余顺坤,宋宇晴.GRA-RF组合算法在农信金融企业工资要素优选及测算中的应用[J/OL].中国管理科学:1-11[2021-07-09].https://doi.org/10.16381/j.cnki.issn1003-207x.2021.0108.
[18]冯子健.基于BP神经网络的铁路货运安全风险评价研究[J].中国安全科学学报,2018,28(S1):178-185.
FENG Zijian.Research on railway freight safety risk assessment based on BP neural network[J].China Safety Science Journal,2018,28(S1):178-185.
[1]汪送,王瑛,李超.BP神经网络在航空机务人员本质安全程度评价中的应用[J].中国安全生产科学技术,2010,6(6):35.
[2]刘程程,杨力.PCA-SVR在煤层瓦斯含量预测中的应用[J].中国安全生产科学技术,2012,8(7):78.
LIU Cheng cheng,YANG Li.Application of PCASVR on gas content predicting in coal seam[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(8):78.
[3]王悦,薛伟.基于BP神经网络的东北贮木场火灾危险等级评定[J].中国安全生产科学技术,2013,9(2):173.
WANG Yue,XUE Wei.Evaluation of fire danger rating of northeast lumberyard
based on BP neural network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(8):173.
[4]王晓峰.金地井田煤层瓦斯分布规律研究及工作面
瓦斯涌出量预测[J].中国安全生产科学技术,2012,8(6):40.
WANG Xiao feng.Research on the law of gas distribution in JinDi Coal Field
and prediction of gas emission in working face[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(8):40.
[5]孙赟,李明涛,姚晓晖.基于BP神经网络人群流量预测的实现[J].中国安全生产科学技术,2010,6(2):61.
SUN Yun,LI Ming-tao,YAO Xiao-hui.Imphement of crowd flow prediction based on BP neural network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2010,6(8):61.
[6]高宗军,付青,郑秋霞,等.BP和Elman神经网络在砂土液化预测中的研究[J].中国安全生产科学技术,2013,9(6):58.[doi:10.11731/j.issn.1673-193x.2013.06.011]
GAO Zong jun,FU Qing,ZHENG Qiu xia,et al.Study on forecasting of sand liquefaction by using BP neural and Elamn neural networks[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(8):58.[doi:10.11731/j.issn.1673-193x.2013.06.011]
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YI Gao xiang,PAN Chang cheng,GUO Jian zhong,et al.Study on safety monitoring model of petroleum tank farm based on multisource data fusion[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(8):90.[doi:10.11731/j.issn.1673-193x.2014.03.015]
[8]陈建宏,郑荣凯,陈 浩.基于PCA和BP神经网络边坡稳定性分析[J].中国安全生产科学技术,2014,10(5):142.[doi:10.11731/j.issn.1673-193x.2014.05.023]
CHEN Jianhong,ZHENG Rongkai,CHEN Hao.Analysis on slope stability based on combination of PCA and BP neural network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(8):142.[doi:10.11731/j.issn.1673-193x.2014.05.023]
[9]宋新明,居 勇,曾 鸣,等.基于神经网络的供电企业安全文化评价研究*[J].中国安全生产科学技术,2009,5(4):55.
SONG Xin ming,JU Yong,ZENG Ming,et al.Research on the evaluation of power supply enterprises safety culture based on neural network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2009,5(8):55.
[10]刘业娇,田志超,刘进才.BP神经网络在矿井本质安全程度评价中的应用[J].中国安全生产科学技术,2009,5(5):102.
LIU Ye jiao,TIAN Zhi chao,LIU Jin cai.Application of BP neural network in the field of evaluation on intrinsical safety degree in mine[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2009,5(8):102.