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Photonic Reservoir Computing: Optical Recurrent Neural Networks

PUBLISHER de Gruyter (07/08/2019)
PRODUCT TYPE Hardcover (Hardcover)

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.

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Product Format
Product Details
ISBN-13: 9783110582000
ISBN-10: 3110582007
Binding: Hardback or Cased Book (Sewn)
Content Language: English
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Page Count: 277
Carton Quantity: 24
Product Dimensions: 6.90 x 0.80 x 9.60 inches
Weight: 1.45 pound(s)
Feature Codes: Illustrated
Country of Origin: DE
Subject Information
BISAC Categories
Science | Physics - Optics & Light
Science | Information Theory
Science | Physics - Electromagnetism
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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.

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List Price $172.99
Your Price  $171.26
Hardcover