Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018

• Other Authors: Beyerer, Jürgen (Editor), Kühnert, Christian (Editor), Niggemann, Oliver (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Nature 2019
• Series: Technologien für die intelligente Automation
• Subjects: Communications engineering / telecommunications; Data mining; Computer networking & communications; Artificial intelligence; Engineering; Computational intelligence; Computer organization; Electrical engineering
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

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.

Physical Description

1 electronic resource (136 p.)

ISBN

978-3-662-58485-9

Access

Open Access