2006, Volume 8, Issue 1
Strategic Study of CAE >> 2006, Volume 8, Issue 1
Research of Gas Qualitative Analysis Using Self-organizing Competitive Network
School of Opto-electronic Information , Ministry of Education the Key Laboratory of Novel Transducers , University of Electronic Science & Technology , Chengdu 610054 , China
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Abstract
The semiconductor gas sensors sensitive to hydrogen and carbon monoxide are chosen to compose the gas sensor array, and an on-line data acquisition system is constructed, which is combined with the pattern recognition techniques of self organizing competitive network for the research of gas qualitative analysis. In order to eliminate the effect produced by the gas concentration, three kinds of normalization methods are developed to pre-process the sensors responses toward hydrogen and carbon monoxide. The research results show that the accurate identification of hydrogen and carbon monoxide in the finite range could be accomplished by relative method.
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References
[ 1 ] 邹小波，赵杰文，吴守一，气体传感器阵列中特征参数的提取与优化[J].传感技术学报，2002，（4）：282-28 link1
[ 2 ] Marco S, Ortega A. Gas Identification with tin or sensor array and self-organizing maps:adaptive correction of sensor drifts[J]. IEEE Transactions on Instrumentation and Measurement, 1998， 47（1）：316~320 link1
[ 3 ] 李啸，闫卫平，郝应光，气体传感器阵列信号处理的混合神经网络[J].传感器技术，200,19（4）：20~21 link1
[ 4 ] 许东，吴铮。基于 MATLAB6.x的系统分析与设计——神经网络[M].西安：西安电子科技大学出版社，2002
[ 5 ] 闻新，周露，王丹力，熊晓英. MATLAB神经网络应用设计[M].北京：科学出版社，2001
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