{"title":"Stability analysis of Hopfield neural networks","authors":"Cao Jinde","doi":"10.1109/ICOSP.1998.770855","DOIUrl":null,"url":null,"abstract":"In this article, by means of the Lyapunov method and some analysis techniques, sufficient criteria are derived for the global exponential stability of the equilibrium of Hopfield neural networks. This criteria can be used to design globally stable networks and thus has important significance in both theory and applications.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.1998.770855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this article, by means of the Lyapunov method and some analysis techniques, sufficient criteria are derived for the global exponential stability of the equilibrium of Hopfield neural networks. This criteria can be used to design globally stable networks and thus has important significance in both theory and applications.
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