Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/9535
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dc.contributor.authorPérez-Vicente, Conrado, 1962-cat
dc.date.accessioned2009-10-06T08:53:58Z-
dc.date.available2009-10-06T08:53:58Z-
dc.date.issued1989cat
dc.identifier.issn1050-2947cat
dc.identifier.urihttp://hdl.handle.net/2445/9535-
dc.description.abstractA recent method used to optimize biased neural networks with low levels of activity is applied to a hierarchical model. As a consequence, the performance of the system is strongly enhanced. The steps to achieve optimization are analyzed in detail.eng
dc.format.extent5 p.cat
dc.format.mimetypeapplication/pdfeng
dc.language.isoengeng
dc.publisherThe American Physical Societyeng
dc.relation.isformatofReproducció digital del document publicat en format paper, proporcionada per PROLA i http://dx.doi.org/10.1103/PhysRevA.40.5356cat
dc.relation.ispartofPhysical Review A, 1989, vol. 40, núm. 9, p. 5356-5360.eng
dc.relation.urihttp://dx.doi.org/10.1103/PhysRevA.40.5356-
dc.rights(c) The American Physical Society, 1989eng
dc.sourceArticles publicats en revistes (Física de la Matèria Condensada)-
dc.subject.classificationFísica estadísticacat
dc.subject.classificationXarxes neuronals (Informàtica)cat
dc.subject.classificationTransformacions de fase (Física estadística)cat
dc.subject.otherStatistical physicseng
dc.subject.otherPhase transformations (Statistical physics)eng
dc.subject.otherNeural networks (Computer science)eng
dc.titleHierarchical neural network with high storage capacityeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec64491cat
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Física de la Matèria Condensada)

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