大口水罐
发表于 2025-3-21 18:28:40
书目名称Advances in Neural Networks – ISNN 2014影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0149167<br><br> <br><br>书目名称Advances in Neural Networks – ISNN 2014影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0149167<br><br> <br><br>书目名称Advances in Neural Networks – ISNN 2014网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0149167<br><br> <br><br>书目名称Advances in Neural Networks – ISNN 2014网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0149167<br><br> <br><br>书目名称Advances in Neural Networks – ISNN 2014被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0149167<br><br> <br><br>书目名称Advances in Neural Networks – ISNN 2014被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0149167<br><br> <br><br>书目名称Advances in Neural Networks – ISNN 2014年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0149167<br><br> <br><br>书目名称Advances in Neural Networks – ISNN 2014年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0149167<br><br> <br><br>书目名称Advances in Neural Networks – ISNN 2014读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0149167<br><br> <br><br>书目名称Advances in Neural Networks – ISNN 2014读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0149167<br><br> <br><br>
宿醉
发表于 2025-3-21 21:41:21
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149167.jpg
Myofibrils
发表于 2025-3-22 03:55:41
Advances in Neural Networks – ISNN 2014978-3-319-12436-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
Scintillations
发表于 2025-3-22 06:30:09
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.
松软无力
发表于 2025-3-22 12:28:11
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雇佣兵
发表于 2025-3-22 14:10:43
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切碎
发表于 2025-3-22 18:56:13
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使残废
发表于 2025-3-23 00:08:05
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喃喃诉苦
发表于 2025-3-23 03:42:03
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Little
发表于 2025-3-23 07:13:08
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