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《Mathematics in Practice and Theory》 2013-01
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Globally Stability of DCNNS with Variable Coefficients

YUAN Jian-hui~1,CHEN Hai-ning~1,JIANG Hui-qin~1,LIU Hai-fei~2 (Economy and Management School,Nanjing University of Information Science & Technology,Nanjing 210044, China)  
In this Letter,we discuss delayed Hopfield neural networks of variable coefficients and distribution,based on globally Lipschitz continuous activation functions,the equilibrium point and the Lyapunov functional method.Sufficient condition ensuring Globally symptotical Stability of neural networks are given.
【Fund】: 国家自然科学基金项目(70671053 70701016 10726072);; 江苏省教育厅哲学社会科学基金(06SJD630037);; 南京信息工程大学科研基金(Y639);; 气象软科学基金(2012058);; 教育部人文社科基金(12YJC790246);; 自然科学基金(71271118)
【CateGory Index】: TP183
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【Citations】
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【Co-citations】
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1 RONG Xiaojian1,XU Rui2,YANG Jianfa1,ZHAO Xiaoqing1(1.Department of Basic Courses,Institute of Shijiazhuang Railway Technology,Hebei Shijiazhuang 050041,China;2.Department of Basic Courses,Ordnance Engineering College,Hebei Shijiazhuang 050003,China);Global Stability of a Hopfield Network with Time Delays[J];Journal of Hebei Normal University(Natural Science Edition);2010-04
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