Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation

Reservoir computing is a paradigm in machine learning whose processing capabilities rely on the dynamical behavior of recurrent neural networks. We present a mixed analog and digital implementation of this concept with a nonlinear analog electronic circuit as a main computational unit. In our approa...

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Veröffentlicht in:IEEE transaction on neural networks and learning systems 2015-02, Vol.26 (2), p.388-393
Hauptverfasser: Soriano, Miguel C., Ortin, Silvia, Keuninckx, Lars, Appeltant, Lennert, Danckaert, Jan, Pesquera, Luis, van der Sande, Guy
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Sprache:eng
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