ENGLISH

Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2016

By Jürgen Beyerer , Oliver Niggemann , Christian Kühnert (eds.)

Book information

Publisher
Springer Vieweg
Year
2017
ISBN
978-3-662-53805-0, 978-3-662-53806-7
DOI
10.1007/978-3-662-53806-7
Language
english
Format
PDF
Filesize
3 MB (3008237 bytes)
Series
Technologien für die intelligente Automation
Edition
1
Pages
VII, 72\76
Time added
2017-02-20 14:58:51
Computational Intelligence;Data Mining and Knowled

Description

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.

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