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Machine Learning for Cyber Physical Systems 1st ed. 2020 edition
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Machine Learning for Cyber Physical Systems
The work 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.
87 pages, 1 Illustrations, black and white; VII, 87 p. 1 illus.
| Mediji | Grāmatas Book |
| Izlaists | 2019. gada 10. aprīlis |
| ISBN13 | 9783662590836 |
| Izdevēji | Springer Fachmedien Wiesbaden |
| Lapas | 87 |
| Izmēri | 150 × 220 × 20 mm · 250 g (Svars (aptuveni)) |
| Valoda | Vācu |
| Redaktors | Beyerer, Jurgen |
| Redaktors | Maier, Alexander |
| Redaktors | Niggemann, Oliver |