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The Stability Analysis Of Time-Delay Hopfield Neural Networks

Posted on:2002-09-17Degree:MasterType:Thesis
Country:ChinaCandidate:W L ZhuFull Text:PDF
GTID:2168360065451208Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
This paper studies the stability of neural networks systems with time-delay . According to the character of neural networks model , making use of the lyapunov function , combining with the method of inequality analysis and the method of variations of the parameters , the problem of the existence and unique of the networks equilibrium point and the asympotical stability for Hopfield neural networks equilibrium state and periodic solution is discussed .Then , this paper establishes the condition for the existence and unique of the networks equilibrium point and the stability of solution . At the time , this paper has obtained the region of attraction of solution of time-delay Hopfield neural networks with variable coefficient and the existence condition of periodic solution .
Keywords/Search Tags:time-delay, neural networks, equilibrium point, stability, periodic solution
PDF Full Text Request
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