Photonic Reservoir Computing : : Optical Recurrent Neural Networks / / ed. by Daniel Brunner, Guy Van der Sande, Miguel C. Soriano.
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 dynam...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 |
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MitwirkendeR: |
Andreoli, Louis,
Antonik, Piotr, Bienstman, Peter, Brunner, Daniel, Bueno, Julian, Dambre, Joni, Duport, François, Freiberger, Matthias, Katumba, Andrew, Laporte, Floris, Larger, Laurent, Lugnan, Alessio, Ma, Chonghuai, Maktoobi, Sheler, Massar, Serge, Ortín, Silvia, Pesquera, Luis, Porte, Xavier, Sackesyn, Stijn, Soriano, Miguel C., Van der Sande, Guy, |
HerausgeberIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2019] ©2019 |
Year of Publication: | 2019 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (XIII, 264 p.) |
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