top of page

Machine Learning for Cyber Physical Systems

Inside this Book

If you make use of this material, you may credit the authors as follows:

Beyerer Jürgen et al. (Editors), "Machine Learning for Cyber Physical Systems", Springer Nature, 2019, DOI: 10.1007/978-3-662-58485-9, License: https://creativecommons.org/licenses/by/4.0

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.

Keywords

Engineering, Computational Intelligence, Computer Organization, Electrical Engineering, Data Mining

Rights | License

Except where otherwise noted, this item has been published under the following license:

Takedown policy

If you believe that this publication infringes copyright, please contact us at info@jecasa-ltd.com and provide relevant details so that we can investigate your claim.

bottom of page