Application of FPGA to Real‐Time Machine Learning : Hardware Reservoir Computers and Software Image Processing : Doctoral Thesis accepted by the Université libre de Bruxelles, Brussels, Belgium / Piotr Antonik
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| Autore: |
Antonik, Piotr
|
| Titolo: |
Application of FPGA to Real‐Time Machine Learning : Hardware Reservoir Computers and Software Image Processing : Doctoral Thesis accepted by the Université libre de Bruxelles, Brussels, Belgium / Piotr Antonik
|
| Pubblicazione: | Cham, : Springer, 2018 |
| Titolo uniforme: | Application of FPGA to Real‐Time Machine Learning |
| Descrizione fisica: | xxii, 171 p. : ill. ; 24 cm |
| Soggetto topico: | 68Txx - Artificial intelligence [MSC 2020] |
| 78A60 - Lasers, masers, optical bistability, nonlinear optics [MSC 2020] | |
| 81V80 - Quantum optics [MSC 2020] | |
| Soggetto non controllato: | Artificial Intelligence |
| Biomedical Imaging | |
| Field Programmable Gate Array | |
| Hardware Artificial Neural Networks | |
| Online Learning | |
| Opto-electronics | |
| Photonic Reservoir Computing | |
| Photonics | |
| Prediction of Chaotic Time Series | |
| Reservoir computing | |
| Telecommunications | |
| Titolo autorizzato: | Application of FPGA to Real‐Time Machine Learning |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | VAN00208162 |
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico | http://doi.org/10.1007/978-3-319-91053-6 |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer theses : recognizing outstanding Ph.D. research Berlin . -Springer , 2010-