Machine learning for cyber physical systems | Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi

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Machine learning for cyber physical systems

Beyerer, Jürgen - Personal Name; Kühnert, Christian - Personal Name; Niggemann, Oliver - Personal Name;

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.

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Series Title: Technologien für die intelligente Automation
Call Number: 006.31 MAN m
Publisher: Berlin, Germany : Springer Vieweg., 2019
Collation: VII, 136 p.
Language: English
ISBN/ISSN: 9783662584859
Classification: 006.31
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Subject(s): Machine learning
Cooperating objects (Computer systems)
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978-3-662-58485-9
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