Machine Learning for Cyber Physical Systems

✍ Scribed by Beyerer Jürgen, Niggemann Oliver, Kühnert Christian (eds.)

Publisher: Springer
Year: 2016
Tongue: English
Leaves: 76
Series: Technologies for Intelligent Automation
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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