Fixed points of Hopfield type neural networks

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dc.creatorLitinskii, Leonid B.
dc.date1999-01-23
dc.date.accessioned2026-07-07T03:12:41Z
dc.date.available2026-07-07T03:12:41Z
dc.descriptionThe set of the fixed points of the Hopfield type network is under investigation. The connection matrix of the network is constructed according the Hebb rule from the set of memorized patterns which are treated as distorted copies of the standard-vector. It is found that the dependence of the set of the fixed points on the value of the distortion parameter can be described analytically. The obtained results are interpreted in the terms of neural networks and the Ising model at T=0.
dc.description5 pages, Revtex, 1 Postscript-file
dc.identifierhttps://arxiv.org/abs/cond-mat/9901251
dc.identifierhttp://arxiv.org/abs/cond-mat/9901251
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/29004
dc.subjectDisordered Systems and Neural Networks
dc.subjectQuantitative Biology
dc.titleFixed points of Hopfield type neural networks
dc.typetext

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