Machine Learning for Cyber Physical Systems
Oliver Niggemann (Hrsg.), Jürgen Beyerer (Hrsg.), Alexander Maier (Hrsg.)
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Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika
Beschreibung
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 Lemgo, October 25th-26th, 2017.
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.
Kundenbewertungen
Data Mining, Cyber-Physical Systems, Internet of Things, Computational intelligence, Big Data, Computer-based algorithms, Smart grid, Artificial Intelligence, Machine Learning, Cognitive Robotics