Umfang:
1 Online-Ressource (XII, 264 Seiten)
,
Illustrationen, Diagramme
ISBN:
9783110583496
,
9783110582116
Inhalt:
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. Ultra-high speed photonic reservoirs. Fully implemented analogue photonic neural networks. Theoretical framework of computing with such devices.
Inhalt:
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
Anmerkung:
Mode of access: Internet via World Wide Web.
,
In English
Weitere Ausg.:
ISBN 9783110582000
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe Photonic reservoir computing Berlin : De Gruyter, 2019 ISBN 3110582007
Weitere Ausg.:
ISBN 9783110582000
Sprache:
Englisch
Fachgebiete:
Physik
Schlagwort(e):
Rekursives neuronales Netz
;
Optischer Computer
;
Photonik
;
Aufsatzsammlung
DOI:
10.1515/9783110583496
URL:
http://purl.org/coar/access_right/c_16ec
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