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lengjing

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哪位好心人帮我查一下这篇文章的accession number！

[ Last edited by lengjing on 2012-3-5 at 08:43 ]

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1楼 2012-03-04 20:25:22

已阅回复此楼关注TA 给TA发消息送TA红花 TA的回帖

victorinox

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3楼: Originally posted by lengjing at 2012-03-04 21:42:08:
您能把查询到的检索页的详细信息发一下吗？谢谢！

Accession number:  20082911384237

Title:  Almost sure exponential stability of neutral stochastic delayed cellular neural networks

Authors:  Zhou, Liqun1 ; Hu, Guangda2

Author affiliation:  1  Science of Mathematics College, Tianjin Normal University, Tianjin 300387, China

2  Department of Automatic, University of Science and Technology Beijing, Beijing 100083, China

Corresponding author:  Zhou, L. (zhouliqun20000@163.com)

Source title:  Journal of Control Theory and Applications

Abbreviated source title:  J. Control Theory Appl.

Volume:  6

Issue:  2

Issue date:  May 2008

Publication year:  2008

Pages:  195-200

Language:  English

ISSN:  16726340

E-ISSN:  10008152

Document type:  Journal article (JA)

Publisher:  Springer Science and Business Media Deutschland GmbH, Heidelberger Platz 3, Berlin, 14197, Germany

Abstract:  In this paper, almost sure exponential stability of neutral delayed cellular neural networks which are in the noised environment is studied by decomposing the state space to sub-regions in view of the saturation linearity of output functions of neurons of the cellular neural networks. Some algebraic criteria are obtained and easily verified. Some examples are given to illustrate the correctness of the results obtained. © 2008 Editorial Board of Control Theory and Applications, South China University of Technology and Springer-Verlag GmbH.

Number of references:  11

Main heading:  Cellular neural networks

Controlled terms:  Artificial intelligence  -  Automation  -  Control theory  -  Military data processing  -  Neural networks  -  State space methods  -  System stability

Uncontrolled terms:  Algebraic criterion  -  Delayed cellular neural networks  -  Editorial board  -  Exponential stability  -  Output functions  -  South China University of Technology  -  State spaces  -  Sub-regions

Classification code:  961 Systems Science  -  921 Mathematics  -  731.1 Control Systems  -  731 Automatic Control Principles and Applications  -  723.4 Artificial Intelligence  -  723.2 Data Processing and Image Processing  -  461.1 Biomedical Engineering

DOI:  10.1007/s11768-008-7036-8

Database:  Compendex

Compilation and indexing terms, © 2011 Elsevier Inc.