Machine Learning for Cyber Physical Systems 1

Data & IT

Machine Learning for Cyber Physical Systems

Oliver Niggemann • Jrgen Beyerer

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121 sidor
2016

The work 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 Lemgo, October 1-2, 2015. 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.

Författare: Oliver Niggemann, Jrgen Beyerer
Illustratör: 12 schwarz-weiße Tabellen 12 schwarz-weiße Abbildungen Bibliographie
Format: Pocket/Paperback
ISBN: 9783662488362
Språk: Engelska
Antal sidor: 121
Utgivningsdatum: 2016-02-20
Förlag: Springer Vieweg