GLOBAL ASYMPTOTIC STABILITY AND GLOBAL EXPONENTIAL STABILITY OF HOPFIELD NEURAL NETWORKS

机译：Hopfield神经网络的全局渐近稳定性和全局指数稳定性

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In this paper, we study a kind of Hopfield neural network, and present new sufficient conditions on Global Asymptotic Stability (GAS) and Global Exponential Stability (GES) by constructing the Liapunov function and utilizing the technique of inequality analysis, as well as improve upon the existing results.

机译：本文研究了一种Hopfield神经网络，通过构造Liapunov函数并利用不等式分析技术，为全局渐近稳定性（GAS）和全局指数稳定性（GES）提出了新的充分条件，并对其进行了改进。现有结果。

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《International Computer Congress on Wavelet Analysis and Its Applications, and Active Media Technology vol.2; 200405; Chongqing(CN)》|2004年|P.1081-1087|共7页
会议地点 Chongqing(CN)
作者
SHOU-MING ZHONG; JIN-XIANG YANG; KE-YU YAN; JIAN-PING LI;
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作者单位

School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, PR China;

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原文格式 PDF
正文语种 eng
中图分类微波与超高频技术;
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GLOBAL ASYMPTOTIC STABILITY AND GLOBAL EXPONENTIAL STABILITY OF HOPFIELD NEURAL NETWORKS

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