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首页> 外文期刊>Network Daily News >New Neural Networks and Learning Systems Data Have Been Reported by Researchers at Huazhong University of Science and Technology (Adaptive Synchronization of Reaction-diffusion Neural Networks With Nondifferentiable Delay Via State Coupling and …)
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New Neural Networks and Learning Systems Data Have Been Reported by Researchers at Huazhong University of Science and Technology (Adaptive Synchronization of Reaction-diffusion Neural Networks With Nondifferentiable Delay Via State Coupling and …)

机译:新的神经网络和学习系统数据被华中科技研究人员报道科技大学(自适应同步反应扩散神经通过国家与Nondifferentiable网络延迟耦合和…)

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By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Networks - Neural Networks and Learning Systems have been presented. According to news reporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “In this article, master-slave synchronization of reaction-diffusion neural networks (RDNNs) with nondifferentiable delay is investigated via the adaptive control method. First, centralized and decentralized adaptive controllers with state coupling are designed, respectively, and a new analytical method by discussing the size of adaptive gain is proposed to prove the convergence of the adaptively controlled error system with general delay.”
机译:由一个新闻记者在网络新闻编辑每日新闻——数据详细的网络——神经网络和学习系统提出了。武汉、中华人民共和国、NewsRx记者,研究说,”在这篇文章中,主从同步的反应扩散神经网络(RDNNs)nondifferentiable延迟是通过调查自适应控制方法。分散自适应控制器和状态分别耦合设计,和一个新的分析方法的讨论的大小提出了自适应增益来证明的收敛的自适应控制错误系统与一般延迟。”

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