Electronic Nose: Algorithmic Challenges
This book presents the key technology of electronic noses, and systematically describes how e-noses can be used to automatically analyse odours. Appealing to readers from the fields of artificial intelligence, computer science, electrical engineering, electronics, and instrumentation science, it addresses three main areas: First, readers will learn how to apply machine learning, pattern recognition and signal processing algorithms to real perception tasks. Second, they will be shown how to make their algorithms match their systems once the algorithms don't work because of the limitation of hardware resources. Third, readers will learn how to…
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Produktdetails
Weitere Autoren: Tian, Fengchun / Zhang, David
- ISBN: 978-981-1321-67-2
- EAN: 9789811321672
- Produktnummer: 28730233
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 339 S.
- Plattform: PDF
- Masse: 10'117 KB
- Auflage: 1st ed. 2018
- Abbildungen: 19 schwarz-weiße und 70 farbige Abbildungen, Bibliographie
Über den Autor
112767272
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