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  Data-driven prediction and prevention of extreme events in a spatially extended excitable system

Bialonski, S., Ansmann, G., & Kantz, H. (2015). Data-driven prediction and prevention of extreme events in a spatially extended excitable system. Physical Review E, 92(4): 042910. doi:10.1103/PhysRevE.92.042910.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-D71E-B Version Permalink: https://hdl.handle.net/21.11116/0000-0002-C2DA-D
Genre: Journal Article

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1510.02263 (Preprint), 16KB
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https://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.042910 (Publisher version)
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 Creators:
Bialonski, Stephan1, Author           
Ansmann, Gerrit2, Author
Kantz, Holger1, Author           
Affiliations:
1Max Planck Institute for the Physics of Complex Systems, Max Planck Society, ou_2117288              
2external, ou_persistent22              

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 MPIPKS: Deterministic dynamics
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 Dates: 2015-10-072015-10-07
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.1103/PhysRevE.92.042910
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Title: Physical Review E
  Other : Phys. Rev. E
Source Genre: Journal
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Publ. Info: Melville, NY : American Physical Society
Pages: - Volume / Issue: 92 (4) Sequence Number: 042910 Start / End Page: - Identifier: ISSN: 1539-3755
CoNE: https://pure.mpg.de/cone/journals/resource/954925225012