Search Results for author: Kathy Lüdge

Found 8 papers, 1 papers with code

Master memory function for delay-based reservoir computers with single-variable dynamics

1 code implementation28 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).

Feedback induced locking in semiconductor lasers with strong amplitude-phase coupling

no code implementations5 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

Anticipation-induced social tipping -- Can the environment be stabilised by social dynamics?

no code implementations3 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

Insight into Delay Based Reservoir Computing via Eigenvalue Analysis

no code implementations16 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.

Limitations of the recall capabilities in delay based reservoir computing systems

no code implementations16 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.

Deep Time-Delay Reservoir Computing: Dynamics and Memory Capacity

no code implementations11 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.

Performance boost of time-delay reservoir computing by non-resonant clock cycle

no code implementations7 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.

Reservoir computing with simple oscillators: Virtual and real networks

no code implementations23 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.

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