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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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上海工程技术大学 激光智能制造课题组 2027级博士研究生招生
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3楼2012-03-04 21:42:08
2楼2012-03-04 21:27:48
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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. |
4楼2012-03-04 22:08:03
