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dc.contributor.authorSartin, Maicon A.
dc.contributor.authorSilva, Alexandre C. R. da [UNESP]
dc.contributor.authorIEEE
dc.date.accessioned2020-12-10T19:31:42Z
dc.date.available2020-12-10T19:31:42Z
dc.date.issued2013-01-01
dc.identifier.citation2013 8th International Workshop On Reconfigurable And Communication-centric Systems-on-chip (recosoc). New York: Ieee, 6 p., 2013.
dc.identifier.urihttp://hdl.handle.net/11449/196052
dc.description.abstractArtificial Neural Networks are widely used in various applications in engineering, as such solutions of nonlinear problems. The implementation of this technique in reconfigurable devices is a great challenge to researchers by several factors, such as floating point precision, nonlinear activation function, performance and area used in FPGA. The contribution of this work is the approximation of a nonlinear function used in ANN, the popular hyperbolic tangent activation function. The system architecture is composed of several scenarios that provide a tradeoff of performance, precision and area used in FPGA. The results are compared in different scenarios and with current literature on error analysis, area and system performance.en
dc.description.sponsorshipUNEMAT
dc.description.sponsorshipUNESP and PPGEE
dc.description.sponsorshipLPSSD
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent6
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2013 8th International Workshop On Reconfigurable And Communication-centric Systems-on-chip (recosoc)
dc.sourceWeb of Science
dc.subjecthyperbolic tangent
dc.subjectFPGA
dc.subjectactivation function
dc.subjectHybrid Methods
dc.titleApproximation of Hyperbolic Tangent Activation Function Using Hybrid Methodsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
dc.contributor.institutionUNEMAT Univ Estado Mato Grosso
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.description.affiliationUNEMAT Univ Estado Mato Grosso, Dept Comp, Colider, MT, Brazil
dc.description.affiliationUniv Estadual Paulista, UNESP, Dept Elect Engn, Ilha Solteria, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Dept Elect Engn, Ilha Solteria, SP, Brazil
dc.identifier.wosWOS:000327312100029
dc.description.sponsorshipIdCNPq: 309023/2012-2
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