| 基于电子鼻的气体等级鉴别信号处理方法 |
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| 引用本文： | 刘瑜,田逢春,Simon X.Yang,代才莉.基于电子鼻的气体等级鉴别信号处理方法[J].信号处理,2007,23(2):301-305. |
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| 作者姓名： | 刘瑜 田逢春 Simon X.Yang 代才莉 |
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| 作者单位： | 1. 重庆大学通信工程学院,中国,重庆,400043
2. University of Guelph,Guelph,Toronto,Canada,N1G2W1 |
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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。
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| 关 键 词： | 电子鼻 独立分量分析 模糊神经网络 |
| 修稿时间： | 2005年8月1日 |
Signal processing method to classify odor concentration with electronic-nose |
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| Liu yu,Tian fengchun,Simon X.Yang,Dai caili.Signal processing method to classify odor concentration with electronic-nose[J].Signal Processing,2007,23(2):301-305. |
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| Authors: | Liu yu Tian fengchun Simon XYang Dai caili |
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| Abstract: | 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. |
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| Keywords: | electronic-nose independent component analysis fuzzy neural network |
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