Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2015 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Niggemann, Oliver (Επιμελητής έκδοσης), Beyerer, Jürgen (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer Vieweg, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Technologien für die intelligente Automation, Technologies for Intelligent Automation
• Θέματα: Engineering.; Knowledge management.; Data mining.; Computational intelligence.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Knowledge Management.
• Φυσική περιγραφή: VI, 121 p. 12 illus. in color. online resource.
• ISBN: 9783662488386

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 1-2, 2015. 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.