New Results on Exponential Periodicity of Delayed Neural Networks

Changyin Sun; Derong Liu; Chun Bo Feng

New Results on Exponential Periodicity of Delayed Neural Networks

Changyin Sun
, Derong Liu
, Chun Bo Feng

Southeast University, Nanjing
University of Illinois at Chicago

科研成果: 会议稿件 › 论文 › 同行评审

5 引用（Scopus）

摘要

In this paper, exponential periodicity of neural networks with delays is investigated. Without assuming the boundedness and differentiability of the activation functions, some new sufficient conditions ensuring existence and uniqueness of periodic solution for a general class of neural networks with delays are obtained. This work gives some improvements to previous ones.

源语言	英语
页	902-907
页数	6
出版状态	已出版 - 2003
已对外发布	是
活动	International Joint Conference on Neural Networks 2003 - Portland, OR, 美国期限: 20 7月 2003 → 24 7月 2003

会议

会议	International Joint Conference on Neural Networks 2003
国家/地区	美国
市	Portland, OR
时期	20/07/03 → 24/07/03

其它文件与链接

链接到 Scopus 的出版物

引用此

@conference{8f00ef654f8d45438b4fef72c593930b,

title = "New Results on Exponential Periodicity of Delayed Neural Networks",

abstract = "In this paper, exponential periodicity of neural networks with delays is investigated. Without assuming the boundedness and differentiability of the activation functions, some new sufficient conditions ensuring existence and uniqueness of periodic solution for a general class of neural networks with delays are obtained. This work gives some improvements to previous ones.",

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

year = "2003",

language = "英语",

pages = "902--907",

note = "International Joint Conference on Neural Networks 2003 ; Conference date: 20-07-2003 Through 24-07-2003",

}

TY - CONF

T1 - New Results on Exponential Periodicity of Delayed Neural Networks

AU - Sun, Changyin

AU - Liu, Derong

AU - Feng, Chun Bo

PY - 2003

Y1 - 2003

N2 - In this paper, exponential periodicity of neural networks with delays is investigated. Without assuming the boundedness and differentiability of the activation functions, some new sufficient conditions ensuring existence and uniqueness of periodic solution for a general class of neural networks with delays are obtained. This work gives some improvements to previous ones.

AB - In this paper, exponential periodicity of neural networks with delays is investigated. Without assuming the boundedness and differentiability of the activation functions, some new sufficient conditions ensuring existence and uniqueness of periodic solution for a general class of neural networks with delays are obtained. This work gives some improvements to previous ones.

UR - https://www.scopus.com/pages/publications/0141572369

M3 - 论文

AN - SCOPUS:0141572369

SP - 902

EP - 907

T2 - International Joint Conference on Neural Networks 2003

Y2 - 20 July 2003 through 24 July 2003

ER -

New Results on Exponential Periodicity of Delayed Neural Networks

摘要

会议

其它文件与链接

学术指纹

引用此