Existence and exponential stability of almost-periodic solutions for MAM neural network with distributed delays on time scales

This paper is concerned with multidirectional associative memory neural network with distributed delays on almost-periodic time scales. Some sufficient conditions on the existence, uniqueness and the global exponential stability of almost-periodic solutions are established. An example is presented t...

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Published inApplied Mathematics-A Journal of Chinese Universities Vol. 36; no. 1; pp. 70 - 82
Main Authors Gao, Jin, Wang, Qi-ru, Lin, Yuan
Format Journal Article
LanguageEnglish
Published Hangzhou Editorial Committee of Applied Mathematics - A Journal of Chinese Universities 01.03.2021
Springer Nature B.V
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Abstract This paper is concerned with multidirectional associative memory neural network with distributed delays on almost-periodic time scales. Some sufficient conditions on the existence, uniqueness and the global exponential stability of almost-periodic solutions are established. An example is presented to illustrate the feasibility and effectiveness of the obtained results.
AbstractList This paper is concerned with multidirectional associative memory neural network with distributed delays on almost-periodic time scales. Some sufficient conditions on the existence, uniqueness and the global exponential stability of almost-periodic solutions are established. An example is presented to illustrate the feasibility and effectiveness of the obtained results.
Abstract This paper is concerned with multidirectional associative memory neural network with distributed delays on almost-periodic time scales. Some sufficient conditions on the existence, uniqueness and the global exponential stability of almost-periodic solutions are established. An example is presented to illustrate the feasibility and effectiveness of the obtained results.
Author Wang, Qi-ru
Lin, Yuan
Gao, Jin
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  organization: School of Computer Sciences, Shenzhen Institute of Information Technology, School of Mathematics, Sun Yat-sen University
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  organization: Department of Public Courses, Shenzhen Institute of Information Technology
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Cites_doi 10.1016/j.jmaa.2004.04.039
10.1109/TCSI.2004.841574
10.1007/s11063-012-9211-7
10.1016/j.matcom.2014.06.004
10.1007/978-0-8176-8230-9
10.1016/S0925-2312(97)00100-8
10.1002/mma.3574
10.1007/978-1-4612-0201-1
10.1016/j.amc.2014.03.051
10.1155/2011/341520
10.1155/2013/592056
10.1155/2011/727068
10.1155/2015/730672
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Copyright The Author(s) 2021. corrected publication June 2021
The Author(s) 2021. corrected publication June 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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– notice: The Author(s) 2021. corrected publication June 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Issue 1
Keywords 26E70
time scales
39A24
almost-periodic solutions
exponential stability
multidirectional associative memory neural networks
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Snippet This paper is concerned with multidirectional associative memory neural network with distributed delays on almost-periodic time scales. Some sufficient...
Abstract This paper is concerned with multidirectional associative memory neural network with distributed delays on almost-periodic time scales. Some...
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StartPage 70
SubjectTerms Applications of Mathematics
Associative memory
Distributed memory
Mathematics
Mathematics and Statistics
Neural networks
Stability
Time
Title Existence and exponential stability of almost-periodic solutions for MAM neural network with distributed delays on time scales
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https://www.proquest.com/docview/2499987207/abstract/
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