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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lazzerini, B. Maggiore, A. |
| Copyright Year | 1998 |
| Description | Author affiliation: Pisa Univ., Italy (Lazzerini, B.) |
| Abstract | This paper presents a method for fuzzy classification of odour samples that are obtained from an electronic nose which uses conducting polymer sensors. These sensors are very sensitive but not specific. Linguistic expressions describing the responses of both individual sensors and the sensor array to each chemical are derived from a fuzzy model of the sensor data. A small scale application of the method in which eight sensors were used to classify three odours yielded 100% classification accuracy on out-of-sample data. |
| Starting Page | 1518 |
| Ending Page | 1523 |
| File Size | 645809 |
| Page Count | 6 |
| File Format | |
| ISBN | 078034863X |
| ISSN | 10987584 |
| DOI | 10.1109/FUZZY.1998.686344 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-05-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensor arrays Chemical sensors Sensor phenomena and characterization Pattern recognition Acoustic sensors Electronic noses Sensor systems Polymers Neurons Feature extraction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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