Data & IT
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Machine Learning for Cyber Physical Systems
Jrgen Beyerer • Christian Khnert • Oliver Niggemann
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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.
- Illustratör: 25 farbige Tabellen 13 schwarz-weiße und 39 farbige Abbildungen Bibliographie
- Format: Pocket/Paperback
- ISBN: 9783662584842
- Språk: Engelska
- Antal sidor: 136
- Utgivningsdatum: 2018-12-18
- Förlag: Springer Vieweg