PEL
发表于 2025-3-21 18:03:55
书目名称Intelligent Computing Theories and Application影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469485<br><br> <br><br>书目名称Intelligent Computing Theories and Application影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469485<br><br> <br><br>书目名称Intelligent Computing Theories and Application网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469485<br><br> <br><br>书目名称Intelligent Computing Theories and Application网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469485<br><br> <br><br>书目名称Intelligent Computing Theories and Application被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469485<br><br> <br><br>书目名称Intelligent Computing Theories and Application被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469485<br><br> <br><br>书目名称Intelligent Computing Theories and Application年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469485<br><br> <br><br>书目名称Intelligent Computing Theories and Application年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469485<br><br> <br><br>书目名称Intelligent Computing Theories and Application读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469485<br><br> <br><br>书目名称Intelligent Computing Theories and Application读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469485<br><br> <br><br>
枫树
发表于 2025-3-21 22:21:03
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Medley
发表于 2025-3-22 01:10:08
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Conjuction
发表于 2025-3-22 04:37:25
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欲望
发表于 2025-3-22 10:42:34
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Infant
发表于 2025-3-22 16:02:27
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Commission
发表于 2025-3-22 18:42:12
New Filter Design for Static Neural Networks with Mixed Time-Varying Delaysis obtained for the static neural networks model. The filter can be solved by a linear matrix inequality (LMI). Two numerical examples are presented to validate the proposed method. In addition, the obtained filter can be applied to design the control systems with delays.
使痛苦
发表于 2025-3-23 00:40:32
A Hybrid Scatter Search Algorithm to Solve the Capacitated Arc Routing Problem with Refill Pointsg model to solve the problem. We propose a hybrid algorithm based on Scatter Search, Simulated Annealing and Iterated Local Search. Our method is tested with instances from the literature. We found best results in the objective function for the majority instances.
conjunctiva
发表于 2025-3-23 03:28:07
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NOCT
发表于 2025-3-23 06:02:43
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