{"title":"Hopfield神经网络平衡点的性质分析","authors":"Yaoguang Wang, Zemin Liu","doi":"10.1109/CICCAS.1991.184280","DOIUrl":null,"url":null,"abstract":"The authors utilize results from the theory of nonlinear networks and systems to analyse the stability properties of various equilibria of analog and discrete Hopfield models. They discuss the relations between the two models and their convergence properties. Some new results are obtained.<<ETX>>","PeriodicalId":119051,"journal":{"name":"China., 1991 International Conference on Circuits and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Property analysis of the equilibria of Hopfield neural networks\",\"authors\":\"Yaoguang Wang, Zemin Liu\",\"doi\":\"10.1109/CICCAS.1991.184280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors utilize results from the theory of nonlinear networks and systems to analyse the stability properties of various equilibria of analog and discrete Hopfield models. They discuss the relations between the two models and their convergence properties. Some new results are obtained.<<ETX>>\",\"PeriodicalId\":119051,\"journal\":{\"name\":\"China., 1991 International Conference on Circuits and Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"China., 1991 International Conference on Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICCAS.1991.184280\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"China., 1991 International Conference on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICCAS.1991.184280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Property analysis of the equilibria of Hopfield neural networks
The authors utilize results from the theory of nonlinear networks and systems to analyse the stability properties of various equilibria of analog and discrete Hopfield models. They discuss the relations between the two models and their convergence properties. Some new results are obtained.<>
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