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  Input-to-State stability analysis for memristive Cohen-Grossberg-type neural networks with variable time delays

Zhao, Y., Kurths, J., Duan, L. (2018): Input-to-State stability analysis for memristive Cohen-Grossberg-type neural networks with variable time delays. - Chaos, Solitons & Fractals, 114, 364-369.
https://doi.org/10.1016/j.chaos.2018.07.021

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 Creators:
Zhao, Y.1, Author
Kurths, Jürgen2, Author              
Duan, L.1, Author
Affiliations:
1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Dates: 2018
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.chaos.2018.07.021
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 8223
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: Chaos, Solitons & Fractals
Source Genre: Journal
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Pages: - Volume / Issue: 114 Sequence Number: - Start / End Page: 364 - 369 Identifier: -