Analog bio-inspired photonic processors based on the reservoir computing paradigm

Analog bio-inspired photonic processors based on the reservoir computing paradigm

For many challenging problems where the mathematical description is not explicitly defined, artificial intelligence methods appear to be much more robust compared to traditional algorithms. Such methods share the common property of learning from examples in order to “explore” the problem to solve. T...

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Bibliographic Details
Main Author: Vinckier, Quentin
Other Authors: Haelterman, Marc
Format: Doctoral Thesis
Language:en
Published: Universite Libre de Bruxelles 2016
Subjects:
Optique des fibres (électromagnétisme)
Optique
Lasers
Intelligence artificielle
Calcul analogique
Sciences de l'ingénieur
Reservoir computing
Reservoir computer
Optical processing
Optical neural network
Bio-inspired photonic processor
Analog processor
Artificial intelligence
Information processing
Online Access:http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/237069

Internet

http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/237069

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