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发表于 2025-3-21 18:38:27
书目名称Dynamical Behaviors of Fractional-Order Complex Dynamical Networks影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0283823<br><br> <br><br>书目名称Dynamical Behaviors of Fractional-Order Complex Dynamical Networks影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0283823<br><br> <br><br>书目名称Dynamical Behaviors of Fractional-Order Complex Dynamical Networks网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0283823<br><br> <br><br>书目名称Dynamical Behaviors of Fractional-Order Complex Dynamical Networks网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0283823<br><br> <br><br>书目名称Dynamical Behaviors of Fractional-Order Complex Dynamical Networks被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0283823<br><br> <br><br>书目名称Dynamical Behaviors of Fractional-Order Complex Dynamical Networks被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0283823<br><br> <br><br>书目名称Dynamical Behaviors of Fractional-Order Complex Dynamical Networks年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0283823<br><br> <br><br>书目名称Dynamical Behaviors of Fractional-Order Complex Dynamical Networks年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0283823<br><br> <br><br>书目名称Dynamical Behaviors of Fractional-Order Complex Dynamical Networks读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0283823<br><br> <br><br>书目名称Dynamical Behaviors of Fractional-Order Complex Dynamical Networks读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0283823<br><br> <br><br>
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发表于 2025-3-21 21:55:09
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发表于 2025-3-22 03:22:56
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发表于 2025-3-22 05:24:08
,Synchronization and Adaptive Control for Coupled Fractional-Order Reaction-Diffusion Neural Networkce fractional-order neural networks (FONNs) can more effectively and accurately describe human brain neurons, plenty of work has been devoted to the dynamical behavior for FONNs [.,.,.,.,.,.]. The stability for fractional-order delayed Hopfield NNs was addressed in [.], and the cases that the networ
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发表于 2025-3-22 09:36:30
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发表于 2025-3-22 15:41:13
Passivity of Coupled Fractional-Order Neural Networks with Multiple State and Derivative Couplings,have been extensively explored, which is not only beneficial to better understand the dynamical characteristics of the NNs but also to make better use of these dynamical behaviors in many fields such as model identification, parallel computation and combinatorial optimization.
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发表于 2025-3-22 18:56:47
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发表于 2025-3-22 22:36:17
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发表于 2025-3-23 03:55:10
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发表于 2025-3-23 07:58:23
,Passivity for Multiadaptive Coupled Fractional-Order Reaction-Diffusion Neural Networks,rently depend on the stability of NNs. Therefore, a large number of stability results for all kinds of NNs have been given in recent years [.,.,.,.,.,.,.,.]. Li et al. [.] introduced a state-dependent switched fuzzy NN including discrete delay and distributed delay, and developed several exponential