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Application of Levenberg-Marquardt method to the training of spiking neural networks

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dc.contributor.authorSilva, S. M.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-11T11:56:18Z
dc.date.available2013-02-11T11:56:18Z
dc.date.issued2005
dc.date.updated2013-01-26T19:22:34Z
dc.description.abstractOne of the basic aspects of some neural networks is their attempt to approximate as much as possible their biological counterparts. The goal is to achieve a simple and robust network, easy to comprehend and capable of simulating the human brain at a computational level. This paper presents improvements to the Spikepro algoritm, by introduting a new encoding scheme, and illustrates the application of the Levenberg Marquardt algorithm to this third generation of neural network.por
dc.identifier.citationSilva, S. M.; Ruano, A. E. Application of Levenberg-Marquardt method to the training of spiking neural networks, Trabalho apresentado em 2005 International Conference on Neural Networks and Brain, In Proceedings of the 2005 International Conference on Neural Networks and Brain, Beijing, China, 2005.por
dc.identifier.isbn0-7803-9422-4
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2297
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.titleApplication of Levenberg-Marquardt method to the training of spiking neural networkspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBeijing, Chinapor
oaire.citation.endPage1358por
oaire.citation.startPage1354por
oaire.citation.title2005 International Conference on Neural Networks and Brain (ICNN&B 2005)por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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