期刊文献+

基于电子鼻的气体等级鉴别信号处理方法 被引量:5

Signal processing method to classify odor concentration with electronic-nose
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摘要 本文介绍了电子鼻的概念及电子鼻信号处理的重要性。从理论研究与实验分析的角度探讨了独立分量分析、模糊神经网络等新方法在电子鼻信号处理中的作用。建立了对应的气体等级鉴别数学模型,并得到实验结果的验证。 This paper introduces the notion of electronic - nose and the importance of electronic - nose signal processing. The effects of some new methods, including independent component analysis, fuzzy neural networks have been investigated. Finally, the corresponding mathematic model to classify odor concentration has been given and verified by experiment data.
出处 《信号处理》 CSCD 北大核心 2007年第2期301-305,共5页 Journal of Signal Processing
基金 重庆市自然科学基金项目资助(CSTC 2005BB2017)
关键词 电子鼻 独立分量分析 模糊神经网络 electronic -nose independent component analysis fuzzy neural network
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参考文献7

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二级参考文献7

共引文献48

同被引文献43

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