Photonic Reservoir Computing: Optical Recurrent Neural Networks

Photonic Reservoir Computing: Optical Recurrent Neural Networks
PDF, ePUB
  • eBook:
    Photonic Reservoir Computing: Optical Recurrent Neural Networks
  • Author:
    Daniel Brunner
  • Edition:
    -
  • Categories:
  • Data:
    July 8, 2019
  • ISBN:
    3110582007
  • ISBN-13:
    9783110582000
  • Language:
    English
  • Pages:
    278 pages
  • Format:
    PDF, ePUB

Book Description
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.

Content

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

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