no code implementations • 11 Jun 2020 • Mirko Goldmann, Felix Köster, Kathy Lüdge, Serhiy Yanchuk
We present how the dynamical properties of a deep Ikeda-based reservoir are related to its memory capacity (MC) and how that can be used for optimization.
no code implementations • 16 Sep 2020 • Felix Köster, Serhiy Yanchuk, Kathy Lüdge
In this paper we give a profound insight into the computation capability of delay-based reservoir computing via an eigenvalue analysis.
no code implementations • 16 Sep 2020 • Felix Köster, Dominik Ehlert, Kathy Lüdge
We analyze the memory capacity of a delay based reservoir computer with a Hopf normal form as nonlinearity and numerically compute the linear as well as the higher order recall capabilities.
no code implementations • 27 Dec 2023 • Felix Köster, Kazutaka Kanno, Jun Ohkubo, Atsushi Uchida
Photonic reservoir computing has been recently utilized in time series forecasting as the need for hardware implementations to accelerate these predictions has increased.
1 code implementation • 28 Aug 2021 • Felix Köster, Serhiy Yanchuk, Kathy Lüdge
We show that many delay-based reservoir computers considered in the literature can be characterized by a universal master memory function (MMF).