Towards Online-Trained Analogue Readout Layer

  • Piotr AntonikEmail author
Part of the Springer Theses book series (Springer Theses)


This chapter presents the last project that I started with the OPERA-Photonique group. We proposes the use of online training in the context of analogue readout layers for photonic reservoir computers. We studied the applicability of this method using numerical simulations of an experimentally feasible reservoir computer with an analogue readout layer. We also considered a nonlinear output layer, which would be very difficult to train with traditional methods. We show numerically that online learning allows to circumvent the added complexity of the analogue layer and obtain the same level of performance as with a digital layer.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.CentraleSupélecMetzFrance

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