Machine Learning for Cyber Physical Systems

Springer Fachmedien Wiesbaden, 2018

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This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. 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.

ISBN-13
9783662584842
ISBN-10
3662584840
Publisher
Springer Fachmedien Wiesbaden
Year
2018
Publication date
2018-12-18
Pages
136
Dimensions
243x169x11
Weight
268