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The Role of Network Variations for Reconstructing Chaotic Attractors with Reservoir Computing

Aumeier, Jonas (2020) The Role of Network Variations for Reconstructing Chaotic Attractors with Reservoir Computing. Master's, Ludwig-Maximilians Universität München.

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Item URL in elib:https://elib.dlr.de/135375/
Document Type:Thesis (Master's)
Title:The Role of Network Variations for Reconstructing Chaotic Attractors with Reservoir Computing
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Aumeier, JonasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:April 2020
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:77
Status:Published
Keywords:Complex Systems, Time Series Analysis, Prediction, Networks, Machine Learning
Institution:Ludwig-Maximilians Universität München
Department:Fakultät für Physik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Research under Space Conditions
DLR - Research area:Raumfahrt
DLR - Program:R FR - Research under Space Conditions
DLR - Research theme (Project):R - Komplexe Plasmen / Data analysis (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Materials Physics in Space > Research Group Complex Plasma
Deposited By: Räth, Christoph
Deposited On:29 Jun 2020 10:01
Last Modified:03 Jul 2020 09:53

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