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  Master Memory Function for Delay-Based Reservoir Computers With Single-Variable Dynamics

Köster, F., Yanchuk, S., Lüdge, K. (2024): Master Memory Function for Delay-Based Reservoir Computers With Single-Variable Dynamics. - IEEE Transactions on Neural Networks and Learning Systems, 35, 6, 7712-7725.
https://doi.org/10.1109/TNNLS.2022.3220532

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 Creators:
Köster, Felix1, Author
Yanchuk, Serhiy2, Author              
Lüdge, Kathy1, Author
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: We show that many delay-based reservoir computers considered in the literature can be characterized by a universal master memory function (MMF). Once computed for two independent parameters, this function provides linear memory capacity for any delay-based single-variable reservoir with small inputs. Moreover, we propose an analytical description of the MMF that enables its efficient and fast computation. Our approach can be applied not only to single-variable delay-based reservoirs governed by known dynamical rules, such as the Mackey–Glass or Stuart–Landau-like systems, but also to reservoirs whose dynamical model is not available.

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Language(s): eng - English
 Dates: 2022-11-182022-11-182024-06-01
 Publication Status: Finally published
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/TNNLS.2022.3220532
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Machine Learning
OATYPE: Hybrid Open Access
 Degree: -

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Title: IEEE Transactions on Neural Networks and Learning Systems
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 35 (6) Sequence Number: - Start / End Page: 7712 - 7725 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/IEEE-transactions-on-neural-networks-and-learning-systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)