Which deep artifical neural network architecture to use for anomaly detection in Mobile Robots kinematic data?
In: Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2018, Jg. 9 (2019), S. 58-65
Online
E-Book
Zugriff:
Titel: |
Which deep artifical neural network architecture to use for anomaly detection in Mobile Robots kinematic data?
|
---|---|
Autor/in / Beteiligte Person: | Rettig, Oliver ; Müller, Silvan ; Strand, Marcus ; Katic, Darko ; inIT - Institut für industrielle Informa ; Beyerer, Jürgen [Ed.] ; Kühnert, Christian [Ed.] ; Niggemann, Oliver [Ed.] |
Zeitschrift: | Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2018, Jg. 9 (2019), S. 58-65 |
Veröffentlichung: | 2019 |
Medientyp: | E-Book |
ISBN: | 978-3-662-58484-2 (print) ; 978-3-662-58485-9 (print) |
DOI: | 10.1007/978-3-662-58485-9_7 |
Sonstiges: |
|