
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 ...
DETAILS
Electronic Nose: Algorithmic Challenges
Zhang, Lei, Tian, Fengchun, Zhang, David
Kartoniert, xv, 339 S.
XV, 339 p. 89 illus., 70 illus. in color.
Sprache: Englisch
235 mm
ISBN-13: 978-981-1347-41-2
Titelnr.: 79843848
Gewicht: 545 g
Springer, Berlin (2019)
Herstelleradresse
Springer Heidelberg
Tiergartenstr. 17
69121 - DE Heidelberg
E-Mail: buchhandel-buch@springer.com