On exponential stability of delayed neural networks with globally Lipschitz continuous activation functions

Changyin Sun; Chun Bo Feng

On exponential stability of delayed neural networks with globally Lipschitz continuous activation functions

Changyin Sun
, Chun Bo Feng

Southeast University, Nanjing

科研成果: 会议稿件 › 论文 › 同行评审

7 引用（Scopus）

摘要

In this paper, based on globally Lipschitz continous activation functions, new conditions ensuring existence, uniqueness and global exponential stability of the equilibrium point of delayed neural networks are obtained. The delayed Hopfield network and Bidirectional associative memory network are special cases of the network model considered in this paper. So this work gives some improvements to the previous ones.

源语言	英语
页	1953-1957
页数	5
出版状态	已出版 - 2002
已对外发布	是
活动	Proceedings of the 4th World Congress on Intelligent Control and Automation - Shanghai, 中国期限: 10 6月 2002 → 14 6月 2002

会议

会议	Proceedings of the 4th World Congress on Intelligent Control and Automation
国家/地区	中国
市	Shanghai
时期	10/06/02 → 14/06/02

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引用此

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title = "On exponential stability of delayed neural networks with globally Lipschitz continuous activation functions",

abstract = "In this paper, based on globally Lipschitz continous activation functions, new conditions ensuring existence, uniqueness and global exponential stability of the equilibrium point of delayed neural networks are obtained. The delayed Hopfield network and Bidirectional associative memory network are special cases of the network model considered in this paper. So this work gives some improvements to the previous ones.",

author = "Changyin Sun and Feng, \{Chun Bo\}",

year = "2002",

language = "英语",

pages = "1953--1957",

note = "Proceedings of the 4th World Congress on Intelligent Control and Automation ; Conference date: 10-06-2002 Through 14-06-2002",

}

TY - CONF

T1 - On exponential stability of delayed neural networks with globally Lipschitz continuous activation functions

AU - Sun, Changyin

AU - Feng, Chun Bo

PY - 2002

Y1 - 2002

N2 - In this paper, based on globally Lipschitz continous activation functions, new conditions ensuring existence, uniqueness and global exponential stability of the equilibrium point of delayed neural networks are obtained. The delayed Hopfield network and Bidirectional associative memory network are special cases of the network model considered in this paper. So this work gives some improvements to the previous ones.

AB - In this paper, based on globally Lipschitz continous activation functions, new conditions ensuring existence, uniqueness and global exponential stability of the equilibrium point of delayed neural networks are obtained. The delayed Hopfield network and Bidirectional associative memory network are special cases of the network model considered in this paper. So this work gives some improvements to the previous ones.

UR - https://www.scopus.com/pages/publications/0036946355

M3 - 论文

AN - SCOPUS:0036946355

SP - 1953

EP - 1957

T2 - Proceedings of the 4th World Congress on Intelligent Control and Automation

Y2 - 10 June 2002 through 14 June 2002

ER -

On exponential stability of delayed neural networks with globally Lipschitz continuous activation functions

摘要

会议

其它文件与链接

学术指纹

引用此