期刊
SENSORS AND ACTUATORS B-CHEMICAL
卷 255, 期 -, 页码 2472-2482出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2017.09.040
关键词
Odour recognition; Electronic nose; SAW sensors; Data processing; Machine learning
资金
- French trans-governmental CBRN-E RD program
Recent advances in odour sensors have led to the development of new applications; among them, electronic noses have gained major interest and found successful applications in many fields. An electronic nose is a device composed of an array of odour sensors with sensitivity to a wide range of chemical compounds. Reliable electronic nose systems rely on advanced data processing techniques. Among them, machine learning has become a core technique for electronic nose design. In this document, we describe several machine learning algorithms and compare their performances on different features used in state of the art electronic nose systems. (C) 2017 Elsevier B.V. All rights reserved.
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