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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.
Price: $181.99
Pages: 277
Publisher: De Gruyter
Imprint: De Gruyter
Publication Date:
08 July 2019
ISBN: 9783110582000
Format: Hardcover
BISACs:
COM000000 COMPUTERS / General, COM031000 COMPUTERS / Information Theory, SCI022000 SCIENCE / Physics / Electromagnetism, SCI040000 SCIENCE / Physics / Mathematical & Computational, SCI050000 SCIENCE / Nanoscience, TEC041000 Technology & Engineering / Telecommunications
Daniel Brunner, U Besancon, France;
Miguel C. Sariano, U Illes Balears, Spain;
Guy Van der Sande, U Brussels, Belgium.