Photonic Reservoir Computing : : Optical Recurrent Neural Networks / / ed. by Daniel Brunner, Guy Van der Sande, Miguel C. Soriano.
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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Photonic Reservoir Computing : Optical Recurrent Neural Networks / ed. by Daniel Brunner, Guy Van der Sande, Miguel C. Soriano. Berlin ; Boston : De Gruyter, [2019] ©2019 1 online resource (XIII, 264 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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 restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) Optical data processing. Optoelectronic devices. Quantum computing. SCIENCE / Physics / Optics & Light. bisacsh Andreoli, Louis, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Antonik, Piotr, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bienstman, Peter, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Brunner, Daniel, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Brunner, Daniel, editor. edt http://id.loc.gov/vocabulary/relators/edt Bueno, Julian, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Dambre, Joni, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Duport, François, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Freiberger, Matthias, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Katumba, Andrew, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Laporte, Floris, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Larger, Laurent, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Lugnan, Alessio, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ma, Chonghuai, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Maktoobi, Sheler, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Massar, Serge, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ortín, Silvia, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Pesquera, Luis, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Porte, Xavier, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sackesyn, Stijn, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Soriano, Miguel C., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Soriano, Miguel C., editor. edt http://id.loc.gov/vocabulary/relators/edt Van der Sande, Guy, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Van der Sande, Guy, editor. edt http://id.loc.gov/vocabulary/relators/edt Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 9783110719567 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE DG 2019 English 9783110616859 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 English 9783110610765 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2019 9783110664232 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Physics, Chem., Mat.Sc, Geosc 2019 English 9783110610642 Title is part of eBook package: De Gruyter EBOOK PACKAGE Physics, Chemistry, Materials Sc, Geosc 2019 9783110606461 ZDB-23-DPC EPUB 9783110582116 print 9783110582000 https://doi.org/10.1515/9783110583496 https://www.degruyter.com/isbn/9783110583496 Cover https://www.degruyter.com/cover/covers/9783110583496.jpg |
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Andreoli, Louis, Andreoli, Louis, Antonik, Piotr, Antonik, Piotr, Bienstman, Peter, Bienstman, Peter, Brunner, Daniel, Brunner, Daniel, Brunner, Daniel, Brunner, Daniel, Bueno, Julian, Bueno, Julian, Dambre, Joni, Dambre, Joni, Duport, François, Duport, François, Freiberger, Matthias, Freiberger, Matthias, Katumba, Andrew, Katumba, Andrew, Laporte, Floris, Laporte, Floris, Larger, Laurent, Larger, Laurent, Lugnan, Alessio, Lugnan, Alessio, Ma, Chonghuai, Ma, Chonghuai, Maktoobi, Sheler, Maktoobi, Sheler, Massar, Serge, Massar, Serge, Ortín, Silvia, Ortín, Silvia, Pesquera, Luis, Pesquera, Luis, Porte, Xavier, Porte, Xavier, Sackesyn, Stijn, Sackesyn, Stijn, Soriano, Miguel C., Soriano, Miguel C., Soriano, Miguel C., Soriano, Miguel C., Van der Sande, Guy, Van der Sande, Guy, Van der Sande, Guy, Van der Sande, Guy, |
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Andreoli, Louis, Andreoli, Louis, Antonik, Piotr, Antonik, Piotr, Bienstman, Peter, Bienstman, Peter, Brunner, Daniel, Brunner, Daniel, Brunner, Daniel, Brunner, Daniel, Bueno, Julian, Bueno, Julian, Dambre, Joni, Dambre, Joni, Duport, François, Duport, François, Freiberger, Matthias, Freiberger, Matthias, Katumba, Andrew, Katumba, Andrew, Laporte, Floris, Laporte, Floris, Larger, Laurent, Larger, Laurent, Lugnan, Alessio, Lugnan, Alessio, Ma, Chonghuai, Ma, Chonghuai, Maktoobi, Sheler, Maktoobi, Sheler, Massar, Serge, Massar, Serge, Ortín, Silvia, Ortín, Silvia, Pesquera, Luis, Pesquera, Luis, Porte, Xavier, Porte, Xavier, Sackesyn, Stijn, Sackesyn, Stijn, Soriano, Miguel C., Soriano, Miguel C., Soriano, Miguel C., Soriano, Miguel C., Van der Sande, Guy, Van der Sande, Guy, Van der Sande, Guy, Van der Sande, Guy, |
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Andreoli, Louis, |
| title |
Photonic Reservoir Computing : Optical Recurrent Neural Networks / |
| 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 |
| title_sub |
Optical Recurrent Neural Networks / |
| title_full |
Photonic Reservoir Computing : Optical Recurrent Neural Networks / ed. by Daniel Brunner, Guy Van der Sande, Miguel C. Soriano. |
| title_fullStr |
Photonic Reservoir Computing : Optical Recurrent Neural Networks / ed. by Daniel Brunner, Guy Van der Sande, Miguel C. Soriano. |
| title_full_unstemmed |
Photonic Reservoir Computing : Optical Recurrent Neural Networks / ed. by Daniel Brunner, Guy Van der Sande, Miguel C. Soriano. |
| title_auth |
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_new |
Photonic Reservoir Computing : |
| title_sort |
photonic reservoir computing : optical recurrent neural networks / |
| publisher |
De Gruyter, |
| publishDate |
2019 |
| physical |
1 online resource (XIII, 264 p.) |
| 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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9783110583496 9783110719567 9783110616859 9783110610765 9783110664232 9783110610642 9783110606461 9783110582116 9783110582000 |
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Q - Science |
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QA - Mathematics |
| callnumber-label |
QA76 |
| callnumber-sort |
QA 276.889 P455 42019 |
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https://doi.org/10.1515/9783110583496 https://www.degruyter.com/isbn/9783110583496 https://www.degruyter.com/cover/covers/9783110583496.jpg |
| illustrated |
Not Illustrated |
| dewey-hundreds |
600 - Technology |
| dewey-tens |
620 - Engineering |
| dewey-ones |
621 - Applied physics |
| dewey-full |
621.36/7 |
| dewey-sort |
3621.36 17 |
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621.36/7 |
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621.36/7 |
| doi_str_mv |
10.1515/9783110583496 |
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1110714760 |
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