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Titlebook: Advances in Neural Networks – ISNN 2014; 11th International S Zhigang Zeng,Yangmin Li,Irwin King Conference proceedings 2014 Springer Inter

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发表于 2025-3-21 18:28:40 | 显示全部楼层 |阅读模式
期刊全称Advances in Neural Networks – ISNN 2014
期刊简称11th International S
影响因子2023Zhigang Zeng,Yangmin Li,Irwin King
视频video
发行地址Includes supplementary material:
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Neural Networks – ISNN 2014; 11th International S Zhigang Zeng,Yangmin Li,Irwin King Conference proceedings 2014 Springer Inter
影响因子The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows. The focus is on following topics such as analysis, modeling, and applications.
Pindex Conference proceedings 2014
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书目名称Advances in Neural Networks – ISNN 2014影响因子(影响力)




书目名称Advances in Neural Networks – ISNN 2014影响因子(影响力)学科排名




书目名称Advances in Neural Networks – ISNN 2014网络公开度




书目名称Advances in Neural Networks – ISNN 2014网络公开度学科排名




书目名称Advances in Neural Networks – ISNN 2014被引频次




书目名称Advances in Neural Networks – ISNN 2014被引频次学科排名




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书目名称Advances in Neural Networks – ISNN 2014年度引用学科排名




书目名称Advances in Neural Networks – ISNN 2014读者反馈




书目名称Advances in Neural Networks – ISNN 2014读者反馈学科排名




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发表于 2025-3-21 21:41:21 | 显示全部楼层
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149167.jpg
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Advances in Neural Networks – ISNN 2014978-3-319-12436-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-22 06:30:09 | 显示全部楼层
Miguel Martínez Lucio,Robert Perrettg neural networks with delays are considered. Using the semi-discretization method and the contraction mapping principle, some sufficient conditions are obtained to ensure the existence and the uniqueness of almost automorphic solutions to Cohen-Grossberg neural networks with delays.
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Miguel Martínez Lucio,Robert Perretterential inclusion theory, by structuring novel Lyapunov functional and employing feedback control technique, adopting feedback controller, anti-synchronization criteria for memristor-based neural networks with time-varying delay are derived, which depend on the jumps parameter ., hence the proposed
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