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 |
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