Machine Learning for Cyber Physical Systems
Download or Read eBook Machine Learning for Cyber Physical Systems PDF written by Jürgen Beyerer and published by Springer. This book was released on 2018-12-17 with total page 144 pages. Available in PDF, EPUB and Kindle.
| Author | : Jürgen Beyerer |
| Publisher | : Springer |
| Total Pages | : 144 |
| Release | : 2018-12-17 |
| ISBN-10 | : 9783662584859 |
| ISBN-13 | : 3662584859 |
| Rating | : 4/5 (59 Downloads) |
Book Synopsis Machine Learning for Cyber Physical Systems by : Jürgen Beyerer
Book excerpt: 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.
