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...
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| Weitere Verfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Boston :
De Gruyter,
[2019]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (277 pages) |
| ISBN: | 3110583496 9783110583496 9783110582116 3110582112 |
Internformat
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| 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. | ||
| 650 | 0 | |a Photonics. |0 http://id.loc.gov/authorities/subjects/sh85101397 | |
| 650 | 0 | |a Optical data processing. |0 http://id.loc.gov/authorities/subjects/sh85095143 | |
| 650 | 6 | |a Photonique. | |
| 650 | 6 | |a Traitement optique de l'information. | |
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| 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. | |
| 758 | |i has work: |a Photonic Reservoir Computing (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3cr7MDTww8gh3qbhDqdBd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| author_additional | Brunner, Daniel / Antonik, Piotr / Porte, Xavier -- Dambre, Joni -- Katumba, Andrew / Freiberger, Matthias / Laporte, Floris / Lugnan, Alessio / Sackesyn, Stijn / Ma, Chonghuai / Dambre, Joni / Bienstman, Peter -- Brunner, Daniel / Bueno, Julian / Porte, Xavier / Maktoobi, Sheler / Andreoli, Louis -- Ortín, Silvia / Pesquera, Luis / Van der Sande, Guy / Soriano, Miguel C. -- Larger, Laurent -- Van der Sande, Guy / Soriano, Miguel C. -- Antonik, Piotr / Massar, Serge / Duport, François -- |
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| contents | Frontmatter -- Preface -- Contents -- List of Contributing Authors -- 1. Introduction to novel photonic computing / 2. Information processing and computation with photonic reservoir systems / 3. Integrated on-chip reservoirs / 4. Large scale spatiotemporal reservoirs / 5. Time delay systems for reservoir computing / 6. Ikeda delay dynamics as Reservoir processors / 7. Semiconductor lasers as reservoir substrates / 8. Advanced reservoir computers: analogue autonomous systems and real time control / Outlook -- Index |
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| discipline | Physik Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-on1110714760 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:29:33Z |
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| isbn | 3110583496 9783110583496 9783110582116 3110582112 |
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| spelling | Photonic Reservoir Computing : Optical Recurrent Neural Networks / edited by Daniel Brunner, Miguel C. Soriano, and Guy Van der Sande. Berlin ; Boston : De Gruyter, [2019] ©2019 1 online resource (277 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file Frontmatter -- Preface -- Contents -- List of Contributing Authors -- 1. Introduction to novel photonic computing / Brunner, Daniel / Antonik, Piotr / Porte, Xavier -- 2. Information processing and computation with photonic reservoir systems / Dambre, Joni -- 3. Integrated on-chip reservoirs / Katumba, Andrew / Freiberger, Matthias / Laporte, Floris / Lugnan, Alessio / Sackesyn, Stijn / Ma, Chonghuai / Dambre, Joni / Bienstman, Peter -- 4. Large scale spatiotemporal reservoirs / Brunner, Daniel / Bueno, Julian / Porte, Xavier / Maktoobi, Sheler / Andreoli, Louis -- 5. Time delay systems for reservoir computing / Ortín, Silvia / Pesquera, Luis / Van der Sande, Guy / Soriano, Miguel C. -- 6. Ikeda delay dynamics as Reservoir processors / Larger, Laurent -- 7. Semiconductor lasers as reservoir substrates / Van der Sande, Guy / Soriano, Miguel C. -- 8. Advanced reservoir computers: analogue autonomous systems and real time control / Antonik, Piotr / Massar, Serge / Duport, François -- Outlook -- Index In English. Online resource; title from PDF title page (publisher's Web site, viewed 23. Jul 2019). 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. Photonics. http://id.loc.gov/authorities/subjects/sh85101397 Optical data processing. http://id.loc.gov/authorities/subjects/sh85095143 Photonique. Traitement optique de l'information. SCIENCE Physics Optics & Light. bisacsh Optical data processing fast Photonics fast Brunner, Daniel, editor. Soriano, Miguel C., editor. Van der Sande, Guy, editor. has work: Photonic Reservoir Computing (Text) https://id.oclc.org/worldcat/entity/E39PD3cr7MDTww8gh3qbhDqdBd https://id.oclc.org/worldcat/ontology/hasWork Print version: 9783110582116 Print version: 9783110582000 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2196855 Volltext |
| spellingShingle | Photonic Reservoir Computing : Optical Recurrent Neural Networks / Frontmatter -- Preface -- Contents -- List of Contributing Authors -- 1. Introduction to novel photonic computing / 2. Information processing and computation with photonic reservoir systems / 3. Integrated on-chip reservoirs / 4. Large scale spatiotemporal reservoirs / 5. Time delay systems for reservoir computing / 6. Ikeda delay dynamics as Reservoir processors / 7. Semiconductor lasers as reservoir substrates / 8. Advanced reservoir computers: analogue autonomous systems and real time control / Outlook -- Index Photonics. http://id.loc.gov/authorities/subjects/sh85101397 Optical data processing. http://id.loc.gov/authorities/subjects/sh85095143 Photonique. Traitement optique de l'information. SCIENCE Physics Optics & Light. bisacsh Optical data processing fast Photonics fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85101397 http://id.loc.gov/authorities/subjects/sh85095143 |
| title | Photonic Reservoir Computing : Optical Recurrent Neural Networks / |
| title_alt | Frontmatter -- Preface -- Contents -- List of Contributing Authors -- 1. Introduction to novel photonic computing / 2. Information processing and computation with photonic reservoir systems / 3. Integrated on-chip reservoirs / 4. Large scale spatiotemporal reservoirs / 5. Time delay systems for reservoir computing / 6. Ikeda delay dynamics as Reservoir processors / 7. Semiconductor lasers as reservoir substrates / 8. Advanced reservoir computers: analogue autonomous systems and real time control / Outlook -- Index |
| title_auth | Photonic Reservoir Computing : Optical Recurrent Neural Networks / |
| title_exact_search | Photonic Reservoir Computing : Optical Recurrent Neural Networks / |
| title_full | Photonic Reservoir Computing : Optical Recurrent Neural Networks / edited by Daniel Brunner, Miguel C. Soriano, and Guy Van der Sande. |
| title_fullStr | Photonic Reservoir Computing : Optical Recurrent Neural Networks / edited by Daniel Brunner, Miguel C. Soriano, and Guy Van der Sande. |
| title_full_unstemmed | Photonic Reservoir Computing : Optical Recurrent Neural Networks / edited by Daniel Brunner, Miguel C. Soriano, and Guy Van der Sande. |
| title_short | Photonic Reservoir Computing : |
| title_sort | photonic reservoir computing optical recurrent neural networks |
| title_sub | Optical Recurrent Neural Networks / |
| topic | Photonics. http://id.loc.gov/authorities/subjects/sh85101397 Optical data processing. http://id.loc.gov/authorities/subjects/sh85095143 Photonique. Traitement optique de l'information. SCIENCE Physics Optics & Light. bisacsh Optical data processing fast Photonics fast |
| topic_facet | Photonics. Optical data processing. Photonique. Traitement optique de l'information. SCIENCE Physics Optics & Light. Optical data processing Photonics |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2196855 |
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