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Existence and exponential stability of multiple periodic solutions for a multidirectional associative memory neural network

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成果类型:
期刊论文
作者:
Zhou, Tiejun*;Wang, Min;Long, Min
通讯作者:
Zhou, Tiejun
作者机构:
[Long, Min; Zhou, Tiejun] Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
[Wang, Min; Zhou, Tiejun] Hunan Agr Univ, Coll Orient Sci & Technol, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Zhou, Tiejun] H
Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Activation functions;Associative memories;Associative memory neural networks;Distributed delays;Estimating method;Exponential convergence rate;Invariant set;Liapunov function;Multi-directional;Multiple periodic solutions;Periodic solution;Poincare;Associative processing;Associative storage;Asymptotic stability;Lyapunov functions;Mathematical models;Problem solving;Neural networks
期刊:
Neural Processing Letters
ISSN:
1370-4621
年:
2012
卷:
35
期:
2
页码:
187-202
基金类别:
Acknowledgements This work was supported by the Natural Science Foundation of Hunan Province (Grant No. 06JJ2100), the Science Foundation of Hunan Agricultural University(Grant No. 07WD08).
机构署名:
本校为第一且通讯机构
院系归属:
理学院
东方科技学院
摘要:
The paper proposes several mathematical models of the multidirectional associative memory (MAM) neural network by analyzing its structure. A model of MAM with distributed delays is studied. Under some new assumptions on activation functions, 2 n0[m/2] invariant subsets of MAM are constructed. Then the existence and the exponential stability of 2 n0[m/2] periodic solutions located on invariant subsets are obtained by constructing a suitable Liapunov function and a Poincaré mapping. An estimating method of the exponential convergence rate is giv...

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