Machine Learning for Cyber Physical Systems

Machine Learning for Cyber Physical Systems

Selected papers from the International Conference ML4CPS 2016

by Jürgen Beyerer, Oliver Niggemann, Christian Kühnert

Year: 2017

Pages: 76

ISBN: 978-3662538050, 3662538059

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.

Tags

Automation Machine Learning Monitoring R

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