Machine Learning for Cyber Physical Systems

Niggemann, Oliver

ISBN 10: 1013270797 / ISBN 13: 9781013270796

Edité par Saint Philip Street Press, 2020

A propos de cet article

N° de réf. du vendeur 42195065-n

Détails bibliographiques

• Titre: Machine Learning for Cyber Physical Systems
• Éditeur: Saint Philip Street Press
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 1013270797
• ISBN à 13 chiffres: 9781013270796
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.