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Machine Learning for Cyber Physical Systems

Selected papers from the International Conference ML4CPS 2016, held at the Fraunhofer IOSB in Karlsruhe, September 29th, 2016
: Beyerer, Jürgen; Niggemann, Oliver; Kühnert, Christian

Berlin: Springer Vieweg, 2017, VII, 72 pp.
Technologien für die intelligente Automation, 3
Conference on Machine Learning for Cyber-Physical-Systems and Industry 4.0 (ML4CPS) <2, 2016, Karlsruhe>
ISBN: 978-3-662-53805-0 (Print)
ISBN: 978-3-662-53806-7
Conference Proceedings
Fraunhofer IOSB ()

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 Karlsruhe, September 29th, 2016.
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.