Citation: | YE Xiao-ting, ZHANG Qing-chun, TONG Min-ming. Analysis of Mixed Inflammable Gases in Mine Based on Gas Sensor Arrays[J]. Safety in Coal Mines, 2012, 43(2): 16-19. |
[1] |
J.W.Gardner,P.N.Bartlett.A brief history of electronicnose[J].Sensors and Actuators B,1994(18-19):211-220.
|
[2] |
曲建岭,王磊,高峰.运用人工神经网络进行混合气体定量分析的研究[J].西北工业大学学报,2001,21(4):401-403.
|
[3] |
M.A.Martin,J.P.Santos,J.A.Agapito.Application ofartificial neural networks to calculate the partial gas con-centrations in a mixture[J].Sensors and Actuators B,2001(77):468-471.
|
[4] |
J.C.Chen,Y.H.Ju,C.J.Liu.Concentration determina-tion of gas by organic thin film sensor and back propaga-tion network[J].Sensors and Actuators B,1999(60):168-173.
|
[5] |
M.C.Carotta,G.Martinelli,L.Crema,et al.Nanostruc-tured thick-film gas sensors for atmospheric pollutantmonitoring:quantitative analysis on field test[J].Sensorsand Actuators B,2001(76):336-342.
|
[6] |
B.S.Joo,N.J.Choi,Y.S.Lee,et al.Pattern recognitionof gas sensor array using characteristics of impedance[J].Sensors and Actuators B,2001(77):209-214.
|
[7] |
童敏明,叶小婷,王都霞.基于信息融合的矿井一氧化碳检测方法的研究[J].计量学报,2007,28(4):388-390.
|
[8] |
叶小婷,汤劼.基于BP神经网络的矿井一氧化碳检测方法研究[J].仪表技术,2007(10):40-42.
|
[9] |
常柄国.基于径向基函数神经网络识别变压器油中微量特征气体[J].西安交通大学学报,1999,33(12):13-17.
|
[10] |
庞全,杨翠容,张玉清.人工神经网络气体分析方法的研究[J].仪器仪表学报,1999,20(2):121-124.
|
[11] |
T.Eklov,I.Lundstrom.Gas mixture analysis using a dis-tributed chemical sensor system[J].Sensors and Actua-tors B,1999(57):274-282.
|
[12] |
G.Huyberechts.Simultaneous quantification of carbonmonoxide and methane in humid air using a sensor arrayand an artificial neural network[J].Sensors and Actua-tors B,1997(45):123-130.
|
[13] |
A.Szczurek.Application of sensor array and neural net-works for quantification of organic solvent vapours in air[J].Sensors and Actuators B,1999(58):427-432.
|
[14] |
M.A.Martin.Study of the interferences of NO2 and COin solid state commercial sensors[J].Sensors and Actua-tors B,1999(58):469-473.
|
[15] |
徐丽娜.神经网络控制[M].北京:电子工业出版社,2002.
|
[1] | WANG Man, JIANG Yongdong, WANG Yingwei, LI Xiyuan, ZHOU Feng. Experimental research on coal adsorption of CH4 and CO2 mixed gas[J]. Safety in Coal Mines, 2022, 53(5): 1-6,12. |
[2] | WANG Zilong, CHEN Wei, CHEN Hao, ZHU Wenshuo. Design of uniqueness detection device based on finger vein recognition[J]. Safety in Coal Mines, 2022, 53(4): 167-171. |
[3] | TAN Chenyang, ZHANG Zhansong, ZHOU Xueqing, GUO Jianhong, XIAO Hang, CHEN Tao, QIN Ruibao, YU Jie. Pattern recognition model of coalbed methane productivity based on random forest algorithm[J]. Safety in Coal Mines, 2022, 53(2): 170-178,186. |
[4] | ZHANG Liya. Safety control technology of coal mine based on image recognition[J]. Safety in Coal Mines, 2021, 52(2): 165-168. |
[5] | ZHAO Yanjun, FENG Guoqi, CHEN Lei, HUANG Xiaofei, QU Yi, ZHANG Dan. Reconstruction of Particle Size Distribution Based on Hybrid Artificial Bee Colony Algorithm and Generalized Pattern Search Algorithm[J]. Safety in Coal Mines, 2016, 47(10): 231-234. |
[6] | ZHOU Junjie, WU Zepeng, DU Zhenchuan, JIN Kankun. Comprehensive Recognition Technology of Collapsed Column in Coalfield[J]. Safety in Coal Mines, 2016, 47(6): 74-77. |
[7] | ZHAO Wei, REN Fengguo. Prediction of Coal Spontaneous Combustion in Mine Based on Fuzzy C Means Clustering Algorithm[J]. Safety in Coal Mines, 2015, 46(11): 183-185. |
[8] | XIA Yan, XU Chunyu, SONG Jiancheng, GENG Pulong, ZHAO Yu, YANG Jiankang. Feature Extraction and Pattern Recognition Method of Vibration Signals in High Voltage Distribution Equipment Based on LabVIEW[J]. Safety in Coal Mines, 2015, 46(8): 103-106. |
[9] | LIAN Zeng-zeng, TAN Zhi-xiang, DENG Ka-zhong, Guo Cang. Damage Grade Forecast of Buildings in Mining Area Based on Fuzzy Pattern Recognition[J]. Safety in Coal Mines, 2013, 44(2): 219-221. |
[10] | LANG Li-ying, WEI Na. Design and Implementation of Embedded Face Recognition Attendance System[J]. Safety in Coal Mines, 2012, 43(4): 68-70. |