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典型文献
Equilibria and Stability Analysis of Cohen-Grossberg BAM Neural Networks on Time Scale
文献摘要:
This paper considers the Cohen-Grossberg BAM neural networks(CG-BAMNNs)on time scale,which can unify and generalize the continuous and discrete systems.First,the criteria for the existence and uniqueness of the equilibrium of CG-BAMNNs are derived on time scale.Then based on that,the authors give the criteria for the stability and estimation of equilibrium of the CG-BAMNNs on time scale.The method proposed in this paper unifies and generalizes the continuous and discrete CG-BAMNNs systems,and is applicable to some other neural network systems on time scale with practical meaning.The effectiveness of the proposed criteria for delayed CG-BAMNNs is demonstrated by numerical simulation.
文献关键词:
作者姓名:
LIU Mingshuo;FANG Yong;DONG Huanhe
作者机构:
College of Mathematics and Systems Science,Shandong University of Science and Technology,Qingdao 266590,China
引用格式:
[1]LIU Mingshuo;FANG Yong;DONG Huanhe-.Equilibria and Stability Analysis of Cohen-Grossberg BAM Neural Networks on Time Scale)[J].系统科学与复杂性学报(英文版),2022(04):1348-1373
A类:
Equilibria,BAMNNs
B类:
Stability,Analysis,Cohen,Grossberg,Neural,Networks,Time,Scale,This,paper,considers,neural,networks,CG,scale,which,can,unify,continuous,discrete,systems,First,criteria,existence,uniqueness,equilibrium,are,derived,Then,that,authors,give,stability,estimation,method,proposed,this,unifies,generalizes,applicable,some,other,practical,meaning,effectiveness,delayed,demonstrated,by,numerical,simulation
AB值:
0.463216
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