HABIT
发表于 2025-3-21 19:38:24
书目名称Cellular Neural Networks: Dynamics and Modelling影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0223051<br><br> <br><br>书目名称Cellular Neural Networks: Dynamics and Modelling影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0223051<br><br> <br><br>书目名称Cellular Neural Networks: Dynamics and Modelling网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0223051<br><br> <br><br>书目名称Cellular Neural Networks: Dynamics and Modelling网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0223051<br><br> <br><br>书目名称Cellular Neural Networks: Dynamics and Modelling被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0223051<br><br> <br><br>书目名称Cellular Neural Networks: Dynamics and Modelling被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0223051<br><br> <br><br>书目名称Cellular Neural Networks: Dynamics and Modelling年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0223051<br><br> <br><br>书目名称Cellular Neural Networks: Dynamics and Modelling年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0223051<br><br> <br><br>书目名称Cellular Neural Networks: Dynamics and Modelling读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0223051<br><br> <br><br>书目名称Cellular Neural Networks: Dynamics and Modelling读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0223051<br><br> <br><br>
雪白
发表于 2025-3-21 23:22:21
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PHAG
发表于 2025-3-22 04:02:25
N. Menyuk,D. K. Killinger,W. E. DeFeor. Moreover, because of the applications of CNN, it will be interesting to consider a special type of memorybased relation between an input signal and an output signal in this circuit. The main goal of this chapter is to model and investigate such relation, called hysteresis for a CNN.
inconceivable
发表于 2025-3-22 07:37:49
K. W. Rothe,H. Walther,J. Wernerhe CNN equations describing reaction-diffusion systems are with the large number of cells, they can exhibit new phenomena that can not be obtained from their limiting PDEs. This demonstrates that an autonomous CNN is in some sense more general than its associated nonlinear PDE.
有杂色
发表于 2025-3-22 08:47:06
K. W. Rothe,H. Walther,J. Wernertem whose state is characterized by two scalar variables . and . and we shall assume that they depend continuously on time .. They will play the role of independent and dependent variables, respectively. In the terminology of CNN, they are also named input and output, or also control and state, resp
两种语言
发表于 2025-3-22 16:53:02
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两种语言
发表于 2025-3-22 19:58:29
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amygdala
发表于 2025-3-22 22:34:39
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有害
发表于 2025-3-23 02:01:20
Cellular Neural Networks: Dynamics and Modelling978-94-017-0261-4Series ISSN 1386-2960
利用
发表于 2025-3-23 05:59:16
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