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Photonic Reservoir Computing: Optical Recurrent Neural Networks
by: Daniel Brunner
ISBN-10: 3110582007
ISBN-13: 9783110582000
Publication Date 出版日期: 2019-07-08
Pages: 278 pages
9
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.
Contents
List of Contributing Authors
1Introduction to novel photonic computing
2Information processing and computation with photonic reservoir systems
3Integrated on-chip reservoirs
4Large scale spatiotemporal reservoirs
5Time delay systems for reservoir computing
6lkeda delay dynamics as Reservoir processors
7 Semiconductor lasers as reservoir substrates
8Advanced reservoir computers: analogue autonomous systems and real time control
Outlook
Index
Photonic Reservoir Computing: Optical Recurrent Neural Networks
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