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

Research output: Contribution to conference › Paper › peer-review

5 Scopus citations

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.

Original language	English
Pages	902-907
Number of pages	6
State	Published - 2003
Externally published	Yes
Event	International Joint Conference on Neural Networks 2003 - Portland, OR, United States Duration: 20 Jul 2003 → 24 Jul 2003

Conference

Conference	International Joint Conference on Neural Networks 2003
Country/Territory	United States
City	Portland, OR
Period	20/07/03 → 24/07/03

Cite this

@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

Abstract

Conference

Other files and links

Fingerprint

Cite this