A new condition for the global robust exponential periodicity of interval neural networks with delays

Changyin Sun; Derong Liu; Chun Bo Feng

A new condition for the global robust exponential periodicity of interval neural networks with delays

Changyin Sun
, Derong Liu
, Chun Bo Feng

Hohai University
Southeast University, Nanjing
Chinese University of Hong Kong
University of Illinois at Chicago

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this paper, we study the robust exponential periodicity of a class of interval-delayed neural networks. A new condition ensuring the existence, uniqueness and global robust exponential stability of the periodic solution of interval-delayed neural networks with periodic input is established.

Original language	English
Pages (from-to)	201-206
Number of pages	6
Journal	IEEE International Conference on Neural Networks - Conference Proceedings
Volume	1
State	Published - 2004
Externally published	Yes
Event	2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary Duration: 25 Jul 2004 → 29 Jul 2004

Keywords

Activation function
Exponential stability
Interval neural networks
Periodic solution

Cite this

@article{c251af3a45504c0195b1c97c3c8b8327,

title = "A new condition for the global robust exponential periodicity of interval neural networks with delays",

abstract = "In this paper, we study the robust exponential periodicity of a class of interval-delayed neural networks. A new condition ensuring the existence, uniqueness and global robust exponential stability of the periodic solution of interval-delayed neural networks with periodic input is established.",

keywords = "Activation function, Exponential stability, Interval neural networks, Periodic solution",

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

year = "2004",

language = "英语",

volume = "1",

pages = "201--206",

journal = "IEEE International Conference on Neural Networks - Conference Proceedings",

issn = "1098-7576",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2004 IEEE International Joint Conference on Neural Networks - Proceedings ; Conference date: 25-07-2004 Through 29-07-2004",

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TY - JOUR

T1 - A new condition for the global robust exponential periodicity of interval neural networks with delays

AU - Sun, Changyin

AU - Liu, Derong

AU - Feng, Chun Bo

PY - 2004

Y1 - 2004

N2 - In this paper, we study the robust exponential periodicity of a class of interval-delayed neural networks. A new condition ensuring the existence, uniqueness and global robust exponential stability of the periodic solution of interval-delayed neural networks with periodic input is established.

AB - In this paper, we study the robust exponential periodicity of a class of interval-delayed neural networks. A new condition ensuring the existence, uniqueness and global robust exponential stability of the periodic solution of interval-delayed neural networks with periodic input is established.

KW - Activation function

KW - Exponential stability

KW - Interval neural networks

KW - Periodic solution

UR - https://www.scopus.com/pages/publications/10944243748

M3 - 会议文章

AN - SCOPUS:10944243748

SN - 1098-7576

VL - 1

SP - 201

EP - 206

JO - IEEE International Conference on Neural Networks - Conference Proceedings

JF - IEEE International Conference on Neural Networks - Conference Proceedings

T2 - 2004 IEEE International Joint Conference on Neural Networks - Proceedings

Y2 - 25 July 2004 through 29 July 2004

ER -

A new condition for the global robust exponential periodicity of interval neural networks with delays

Abstract

Keywords

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