Generalized Recurrent Exponential Fuzzy Associative Memories Based On Similarity Measures

dc.creatorde Souza
dc.creatorAline Cristina; Valle
dc.creatorMarcos Eduardo; Sussner
dc.creatorPeter
dc.date2015
dc.date2016-06-07T13:22:54Z
dc.date2016-06-07T13:22:54Z
dc.date.accessioned2018-03-29T01:42:25Z
dc.date.available2018-03-29T01:42:25Z
dc.identifier978-94-62520-77-6
dc.identifierGeneralized Recurrent Exponential Fuzzy Associative Memories Based On Similarity Measures. Atlantis Press, v. 89, p. 455-462 2015.
dc.identifier1951-6851
dc.identifierWOS:000358581100066
dc.identifier
dc.identifierhttp://www.atlantis-press.com/php/pub.php?publication=ifsa-eusflat-15&frame=http%3A//www.atlantis-press.com/php/paper-details.php%3Fid%3D23577
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/243276
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1306974
dc.descriptionThe recurrent exponential fuzzy associative memory (RE-FAM) can be viewed as a recurrent neural network that employs a fuzzy similarity measure in its hidden layer. This paper introduces the generalized recurrent exponential fuzzy associative memory (GRE-FAM). In contrast to the RE-FAM, the GRE-FAM is equipped with a second hidden layer that is geared to avoiding crosstalk. Apart from theoretical results, this paper includes some computational experiments concerning the reconstruction of corrupted gray-scale images.
dc.description89
dc.description
dc.description
dc.description455
dc.description462
dc.description
dc.description
dc.description
dc.languageen
dc.publisherATLANTIS PRESS
dc.publisher
dc.publisherPARIS
dc.relationPROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY
dc.rightsfechado
dc.sourceWOS
dc.subjectDistances
dc.subjectNetworks
dc.titleGeneralized Recurrent Exponential Fuzzy Associative Memories Based On Similarity Measures
dc.typeActas de congresos


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