{"title":"Cellular neural networks as a model of associative memories","authors":"S. Tan, J. Hao, J. Vandewalle","doi":"10.1109/CNNA.1990.207504","DOIUrl":null,"url":null,"abstract":"Concerns the design of cellular neural networks intended to function as associative memories. The authors consider a discrete-time version of cellular neural nets featuring simple linear thresholding neurons and the synchronous state-updating rule. The Hebbian rule is adopted as the memory design rule. Important issues, such as the memory capacity and the size of the attracting basin, are discussed. The validity of the method is illustrated by a simple example.<<ETX>>","PeriodicalId":142909,"journal":{"name":"IEEE International Workshop on Cellular Neural Networks and their Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Workshop on Cellular Neural Networks and their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.1990.207504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24
Abstract
Concerns the design of cellular neural networks intended to function as associative memories. The authors consider a discrete-time version of cellular neural nets featuring simple linear thresholding neurons and the synchronous state-updating rule. The Hebbian rule is adopted as the memory design rule. Important issues, such as the memory capacity and the size of the attracting basin, are discussed. The validity of the method is illustrated by a simple example.<>