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[求助]
求文献是否EI收录？
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求文献是否EI收录？谢谢 Changjin Xu, Qiming Zhang, Anti-periodic Solutions for A Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Time-varying Delays in the Leakage Terms, WSEAS Transactions on Mathematics 13(2014)736-746. |
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sunshan4379
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ch403: 金币+5 2015-03-05 21:47:33
心静_依然: LS-EPI+1, 感谢应助 2015-03-06 20:38:10
ch403: 金币+5 2015-03-05 21:47:33
心静_依然: LS-EPI+1, 感谢应助 2015-03-06 20:38:10
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7楼2015-03-05 18:57:22
baiyuefei
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感谢参与，应助指数 +1
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Accession number: 201436047798 Title: On anti-periodic solutions of a shunting inhibitory cellular neural networks with distributed delays Authors: Xu, Changjin1 ; Zhang, Qiming2 Author affiliation: 1 Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang, China 2 College of Science, Hunan University of Technology, Zhuzhou, China Corresponding author: Xu, Changjin Source title: Journal of Applied Mathematics and Computing Abbreviated source title: J. Appl. Math. Comp. Volume: 47 Issue: 1-2 Issue date: 2014 Publication year: 2014 Language: English ISSN: 15985865 Document type: Journal article (JA) Publisher: Springer Verlag Abstract: This paper is concerned with the existence and exponential stability of anti-periodic solutions of a class of shunting inhibitory cellular neural networks with continuously distributed delays. Sufficient conditions for the existence and exponential stability of anti-periodic solutions are presented. Our results are new and complement of some previously known ones. © 2014, Korean Society for Computational and Applied Mathematics. Number of references: 41 Page count: 13 Main heading: Cellular neural networks Controlled terms: Asymptotic stability - Computational methods Uncontrolled terms: Anti-periodic solutions - Continuously distributed delays - Distributed delays - Shunting inhibitory cellular neural networks Classification code: 723.4 Artificial Intelligence - 921 Mathematics - 921.6 Numerical Methods DOI: 10.1007/s12190-014-0757-6 Database: Compendex Compilation and indexing terms, © 2015 Elsevier Inc. Full-text and Local Holdings Links |
2楼2015-02-24 22:16:27
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3楼2015-02-24 22:16:41
4楼2015-02-24 22:56:53
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