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).
no code implementations • 5 Jan 2021 • Jan Hausen, Bastian Herzog, Alexander Nelde, Stefan Meinecke, Nina Owschimikow, Kathy Lüdge
The influence of optical feedback on semiconductor lasers has been a widely studied field of research due to fundamental interests as well as the optimization of optical data transmission and computing.
Optics Chaotic Dynamics
no code implementations • 3 Dec 2020 • Paul Manuel Müller, Jobst Heitzig, Jürgen Kurths, Kathy Lüdge, Marc Wiedermann
Acknowledging that societies have the additional capability for foresight, this work proposes a conceptual feedback model of socio-ecological co-evolution with the specific construct of anticipation acting as a mediator between the social and natural system.
Physics and Society
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 • 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 • 7 May 2019 • Florian Stelzer, André Röhm, Kathy Lüdge, Serhiy Yanchuk
Here we show that the case of equal or resonant time-delay and clock cycle could be actively detrimental and leads to an increase of the approximation error of the reservoir.
no code implementations • 23 Feb 2018 • André Röhm, Kathy Lüdge
The reservoir computing scheme is a machine learning mechanism which utilizes the naturally occuring computational capabilities of dynamical systems.