A synthesis procedure for associative memories based on space-varying cellular neural networks
DC Field | Value | Language |
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dc.contributor.author | Park, J | - |
dc.contributor.author | Kim, HY | - |
dc.contributor.author | Park, Y | - |
dc.contributor.author | Lee, SW | - |
dc.date.accessioned | 2021-09-09T12:34:53Z | - |
dc.date.available | 2021-09-09T12:34:53Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2001-01 | - |
dc.identifier.issn | 0893-6080 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/124401 | - |
dc.description.abstract | In this paper, we consider the problem of realizing associative memories via space-varying CNNs (cellular neural networks). Based on some known results and a newly derived theorem fur the CNN model, we propose a synthesis procedure for obtaining a space-varying CNN that can store given bipolar vectors with certain desirable properties. The major part of our synthesis procedure consists of solving generalized eigenvalue problems and/or linear matrix inequality problems, which can be efficiently solved by recently developed interior point methods. The validity of the proposed approach is illustrated by a design example. (C) 2001 Elsevier Science Ltd. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.subject | SYSTEMS | - |
dc.title | A synthesis procedure for associative memories based on space-varying cellular neural networks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, SW | - |
dc.identifier.doi | 10.1016/S0893-6080(00)00086-1 | - |
dc.identifier.scopusid | 2-s2.0-0035181330 | - |
dc.identifier.wosid | 000166687200009 | - |
dc.identifier.bibliographicCitation | NEURAL NETWORKS, v.14, no.1, pp.107 - 113 | - |
dc.relation.isPartOf | NEURAL NETWORKS | - |
dc.citation.title | NEURAL NETWORKS | - |
dc.citation.volume | 14 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 107 | - |
dc.citation.endPage | 113 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Neurosciences | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordAuthor | associative memory | - |
dc.subject.keywordAuthor | cellular neural network | - |
dc.subject.keywordAuthor | generalized eigenvalue problem | - |
dc.subject.keywordAuthor | linear matrix inequality problem | - |
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