A new approach to stability analysis of neural networks with time-varying delay via novel
A new approach to stability analysis of neural networks with time-varying delay via novel
Lyapunov-Krasovskii functional
S. M. Lee;O. M. Kwon;Ju H. Park
【期刊名称】《中国物理:英文版》 【年(卷),期】2010(000)005 【摘要】^10F;中国物理:英文版 【总页数】6页(P.115-120)
【关键词】Lyapunov;稳定标准;神经网络分析;时变;泛函;非线性函数;延迟;时滞神经网络
【作者】S. M. Lee;O. M. Kwon;Ju H. Park 【
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^pof;Electronic;Engineering,;Daegu;University,;Gyungsan,;Gyungbuk;712-714,;Republic;of;Korea;^pof;Electrical;and;Computer;Engineering,;410;SungBong-Ro,;Heungduk-Gu,;Chungbuk;National;University,;Cheongju;361-763,;Republic;of;Korea;^pDynamics;Group,;Department;of;Electrical;Engineering,;Yeungnam;University,;214-1;Dae-Dong,;Kyongsan;712-749,;Republic;of;Korea 【正文语种】英文 【中图分类】TP183
A new approach to stability analysis of neural networks with time-varying delay via novel
Anewapproachtostabilityanalysisofneuralnetworkswithtime-varyingdelayvianovelLyapunov-KrasovskiifunctionalS.M.Lee;O.M.Kwon;JuH.Park【期刊名称】《中国物理:英文版
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