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Sping glasses and neural networks

cnea.tipodocumentoINFORME TÉCNICO
dc.contributor.authorParga, Néstor Omar
dc.contributor.cneaproductorComisión Nacional de Energía Atómica; Argentina. Centro Atómico Bariloche
dc.date.accessioned2025-09-03T15:04:33Z
dc.date.available2025-09-03T15:04:33Z
dc.date.issued1988
dc.description.abstractThe mean-field theory of spin glass models has been used as a prototype of systems with frustration and disorder. One of the most interesting related systems are models of associative memories. In these lectures we review the main concepts developed to solve the Sherrington-Kirkpatrick model and its application to neural networks.
dc.description.institutionalaffiliationFil: Parga, Néstor Omar Comisión Nacional de Energía Atómica; Argentina
dc.format.extent25 p.
dc.format.extentapplication/pdf
dc.identifier.cneaINFORME CNEA-CAB 89/004
dc.identifier.urihttps://nuclea.cnea.gob.ar/handle/20.500.12553/7199
dc.language.ISO639-3eng
dc.publisherComisión Nacional de Energía Atómica; Argentina
dc.rights.accesslevelinfo:eu-repo/semantics/openAccess
dc.rights.licenseCreative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject.inisFÍSICA
dc.subject.inisMEMORIAS
dc.subject.inisVIDRIO
dc.subject.inisREDES NEURONALES
dc.subject.inisMAGNETISMO
dc.subject.inisPHYSICS
dc.subject.inisMEMORY DEVICES
dc.subject.inisGLASS
dc.subject.inisNEURAL NETWORKS
dc.subject.inisMAGNETISM
dc.titleSping glasses and neural networks
dc.typeinfo:eu-repo/semantics/report
dc.typeinfo:ar-repo/semantics/informe técnico
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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