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

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 ch...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Niggemann, Oliver (Editor), Beyerer, Jürgen (Editor)
Format: e-Book
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : 2016.
Imprint: Springer Vieweg,
Edition:1st ed. 2016.
Series:Technologien für die intelligente Automation, Technologies for Intelligent Automation,
Subjects:
Computational intelligence.
Data mining.
Knowledge management.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Knowledge Management.
Online Access:Full-text access
Description
Summary: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.
Physical Description:VI, 121 p. 12 illus. in color. online resource.
ISBN:9783662488386
ISSN:2522-8587
DOI:10.1007/978-3-662-48838-6

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