Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2018
Contributor(s)
Beyerer, Jürgen (editor)
Kühnert, Christian (editor)
Niggemann, Oliver (editor)
Language
EnglishAbstract
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.
Keywords
Engineering; Computational intelligence; Computer organization; Electrical engineering; Data miningDOI
10.1007/978-3-662-58485-9Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
Berlin, Heidelberg, 2019Series
Technologien für die intelligente Automation,Classification
Communications engineering / telecommunications
Data mining
Computer networking and communications
Artificial intelligence