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Content Provider | IEEE Xplore Digital Library |
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Author | Peng Yu Min Pan Yuquan Chen Guang Li |
Copyright Year | 2001 |
Description | Author affiliation: Biosensor Nat. Special Lab., Zhejiang Univ., Hangzhou, China (Peng Yu; Min Pan; Yuquan Chen; Guang Li) |
Abstract | This paper describes a method to recognize Chinese spirits using a gas sensor array being dynamically heated. An FFT and an RBF neural network are employed for dynamic signal extraction and pattern recognition, respectively. Four kinds of SnO/sub 2/ gas sensors were chosen to build a sensor array for our experiments. Three Chinese spirits, which had similar odors were chosen to be recognized. The response signals were collected while the sensor array was periodically heated. After the FFT was applied on low frequency segment in a specific period, we used RBF neural network to analyze the results for pattern recognition. The recognition rate was 98%. |
Starting Page | 3118 |
Ending Page | 3120 |
File Size | 294591 |
Page Count | 3 |
File Format | |
ISBN | 0780372115 |
ISSN | 1094687X |
DOI | 10.1109/IEMBS.2001.1017462 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2001-10-25 |
Publisher Place | Turkey |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Electronic noses Sensor arrays Gas detectors Olfactory Sensor systems Thermal sensors Neural networks Pattern recognition Polymers Electrical resistance measurement |
Content Type | Text |
Resource Type | Article |
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