Highly Symmetric Neural Networks of Hopfield Type (exact results)

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dc.creatorLitinsky, Leonid B.
dc.date1998-04-16
dc.date.accessioned2026-07-07T03:10:20Z
dc.date.available2026-07-07T03:10:20Z
dc.descriptionA set of fixed points of the Hopfield type neural network is 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 has been obtained.
dc.description2 pages, Latex, sumbitted to Conference of Computational Physics, September, 2-5 1998 (Granada, Espana)
dc.identifierhttps://arxiv.org/abs/cond-mat/9804165
dc.identifierhttp://arxiv.org/abs/cond-mat/9804165
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/28206
dc.subjectDisordered Systems and Neural Networks
dc.subjectQuantitative Biology
dc.titleHighly Symmetric Neural Networks of Hopfield Type (exact results)
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