Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3237
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dc.contributor.authorVAN DEN BROECK, Christian-
dc.contributor.authorBEX, Geert Jan-
dc.date.accessioned2007-11-27T12:22:05Z-
dc.date.available2007-11-27T12:22:05Z-
dc.date.issued1998-
dc.identifier.citationPHILOSOPHICAL MAGAZINE B-PHYSICS OF CONDENSED MATTER STATISTICAL MECHANICS ELECTRONIC OPTICAL AND MAGNETIC PROPERTIES, 77(5). p. 1479-1486-
dc.identifier.issn0141-8637-
dc.identifier.urihttp://hdl.handle.net/1942/3237-
dc.description.abstractWe illustrate how a multifractal analysis, based on numerical results for Boolean networks and analytic results for neural networks, allows us to gain insight into the mechanism by which networks can learn by examples.-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS LTD-
dc.titleSelf-similarity in networks that learn by examples-
dc.typeJournal Contribution-
dc.identifier.epage1486-
dc.identifier.issue5-
dc.identifier.spage1479-
dc.identifier.volume77-
local.format.pages8-
dc.description.notesLimburgs Univ Ctr, B-3590 Diepenbeek, Belgium.Van den Broeck, C, Limburgs Univ Ctr, Univ Campus, B-3590 Diepenbeek, Belgium.-
local.type.refereedRefereed-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1080/014186398258870-
dc.identifier.isi000073595300041-
item.validationecoom 1999-
item.contributorVAN DEN BROECK, Christian-
item.contributorBEX, Geert Jan-
item.fullcitationVAN DEN BROECK, Christian & BEX, Geert Jan (1998) Self-similarity in networks that learn by examples. In: PHILOSOPHICAL MAGAZINE B-PHYSICS OF CONDENSED MATTER STATISTICAL MECHANICS ELECTRONIC OPTICAL AND MAGNETIC PROPERTIES, 77(5). p. 1479-1486.-
item.fulltextNo Fulltext-
item.accessRightsClosed Access-
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