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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Brunner, Daniel (Editor ), Soriano, Miguel C. (Editor ), Van der Sande, Guy (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; Boston : De Gruyter, [2019]
Temas:
Photonics.
Optical data processing.
Photonique.
Traitement optique de l'information.
SCIENCE > Physics > Optics & Light.
Optical data processing
Photonics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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

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