Some Exact Results of Hopfield Neural Networks and Applications

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dc.creatorLu, Hong-Liang
dc.creatorQiu, Xi-Jun
dc.date1999-07-24
dc.date.accessioned2026-07-07T05:57:10Z
dc.date.available2026-07-07T05:57:10Z
dc.descriptionA set of fixed points of the Hopfield type neural network was under investigation. Its connection matrix is constructed with regard to the Hebb rule from a highly symmetric set of the memorized patterns. Depending on the external parameter the analytic description of the fixed points set had been obtained. And as a conclusion, some exact results of Hopfield neural networks were gained.
dc.description4 pages, latex, no figures
dc.identifierhttps://arxiv.org/abs/physics/9907042
dc.identifierhttp://arxiv.org/abs/physics/9907042
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/87886
dc.subjectBiological Physics
dc.subjectQuantitative Biology
dc.titleSome Exact Results of Hopfield Neural Networks and Applications
dc.typetext

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