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Photonic Reservoir Computing: Optical Recurrent Neural Networks - Hardcover

 
9783110582000: Photonic Reservoir Computing: Optical Recurrent Neural Networks

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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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About the Author

Daniel Brunner, U Besancon, France;
Miguel C. Sariano, U Illes Balears, Spain;
Guy Van der Sande, U Brussels, Belgium.

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Published by De Gruyter, 2019
ISBN 10: 3110582007 ISBN 13: 9783110582000
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_381584679

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Brunner, Daniel
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Daniel Brunner
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 276 pp. Englisch. Seller Inventory # 9783110582000

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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book is very clearly written by experts in the field and contains numerous experiments and references. It can be used by anyone working in optical computing, which has developed very much in recent years due to optical implementations of neural network. Seller Inventory # 218771050

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Hardback. Condition: New. 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. Seller Inventory # LU-9783110582000

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Published by De Gruyter Aug 2024, 2024
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Buch. Condition: Neu. Neuware -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.Walter de Gruyter, Genthiner Straße 13, 10785 Berlin 276 pp. Englisch. Seller Inventory # 9783110582000

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