Electronic nose: algorithmic challenges
Auteur :
Zhang, Lei / Tian, Fengchun / Zhang, David
Éditeur :
Springer Verlag, Singapore
ISBN :
9789811347412
Date de publication :
26 janv. 2019
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Singapour
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.