Machine Learning for Cyber Physical Systems
Machine Learning for Cyber Physical Systems
Buch
- Selected papers from the International Conference ML4CPS 2020
- Herausgeber: Jürgen Beyerer, Oliver Niggemann, Alexander Maier
- Springer Berlin, 12/2020
- Einband: Kartoniert / Broschiert, Paperback
- Sprache: Englisch
- ISBN-13: 9783662627457
- Bestellnummer: 10397457
- Umfang: 140 Seiten
- Nummer der Auflage: 20001
- Auflage: 1st ed. 2021
- Gewicht: 248 g
- Maße: 240 x 168 mm
- Stärke: 7 mm
- Erscheinungstermin: 24.12.2020
- Serie: Technologien für die intelligente Automation - Band 13
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Machine Learning for Cyber Physical Systems
Klappentext
This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020.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.