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Photonic Reservoir Computing : Optical Recurrent Neural Networks /
Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynam...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin ; Boston :
De Gruyter,
[2019]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | EBSCO_on1110714760 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
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| 020 | |a 3110583496 | ||
| 020 | |a 9783110583496 |q (electronic bk.) | ||
| 020 | |a 9783110582116 |q (electronic book) | ||
| 020 | |a 3110582112 |q (electronic book) | ||
| 020 | |z 9783110582000 |q (print) | ||
| 024 | 7 | |a 10.1515/9783110583496 |2 doi | |
| 035 | |a (OCoLC)1110714760 | ||
| 050 | 4 | |a TA1630 |b .P46 2019 | |
| 072 | 7 | |a SCI053000 |2 bisacsh | |
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| 084 | |a UH 7500 |2 rvk | ||
| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Photonic Reservoir Computing : |b Optical Recurrent Neural Networks / |c edited by Daniel Brunner, Miguel C. Soriano, and Guy Van der Sande. |
| 264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2019] | |
| 264 | 4 | |c ©2019 | |
| 300 | |a 1 online resource (277 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 347 | |b PDF | ||
| 505 | 0 | 0 | |t Frontmatter -- |t Preface -- |t Contents -- |t List of Contributing Authors -- |t 1. Introduction to novel photonic computing / |r Brunner, Daniel / Antonik, Piotr / Porte, Xavier -- |t 2. Information processing and computation with photonic reservoir systems / |r Dambre, Joni -- |t 3. Integrated on-chip reservoirs / |r Katumba, Andrew / Freiberger, Matthias / Laporte, Floris / Lugnan, Alessio / Sackesyn, Stijn / Ma, Chonghuai / Dambre, Joni / Bienstman, Peter -- |t 4. Large scale spatiotemporal reservoirs / |r Brunner, Daniel / Bueno, Julian / Porte, Xavier / Maktoobi, Sheler / Andreoli, Louis -- |t 5. Time delay systems for reservoir computing / |r Ortín, Silvia / Pesquera, Luis / Van der Sande, Guy / Soriano, Miguel C. -- |t 6. Ikeda delay dynamics as Reservoir processors / |r Larger, Laurent -- |t 7. Semiconductor lasers as reservoir substrates / |r Van der Sande, Guy / Soriano, Miguel C. -- |t 8. Advanced reservoir computers: analogue autonomous systems and real time control / |r Antonik, Piotr / Massar, Serge / Duport, François -- |t Outlook -- |t Index |
| 546 | |a In English. | ||
| 588 | 0 | |a Online resource; title from PDF title page (publisher's Web site, viewed 23. Jul 2019). | |
| 520 | |a Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Photonics. | |
| 650 | 0 | |a Optical data processing. | |
| 650 | 6 | |a Photonique. | |
| 650 | 6 | |a Traitement optique de l'information. | |
| 650 | 7 | |a SCIENCE |x Physics |x Optics & Light. |2 bisacsh | |
| 650 | 7 | |a Optical data processing |2 fast | |
| 650 | 7 | |a Photonics |2 fast | |
| 700 | 1 | |a Brunner, Daniel, |e editor. | |
| 700 | 1 | |a Soriano, Miguel C., |e editor. | |
| 700 | 1 | |a Van der Sande, Guy, |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 9783110582116 |
| 776 | 0 | 8 | |i Print version: |z 9783110582000 |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2196855 |z Texto completo |
| 938 | |a De Gruyter |b DEGR |n 9783110583496 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5994812 | ||
| 938 | |a EBSCOhost |b EBSC |n 2196855 | ||
| 938 | |a YBP Library Services |b YANK |n 14880481 | ||
| 994 | |a 92 |b IZTAP | ||