Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods

Detalhes bibliográficos
Autor(a) principal: Sartin, Maicon A.
Data de Publicação: 2013
Outros Autores: Silva, Alexandre C. R. da [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/196052
Resumo: Artificial 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.
id UNSP_6de569e5cc413e9dd7804941775075e0
oai_identifier_str oai:repositorio.unesp.br:11449/196052
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methodshyperbolic tangentFPGAactivation functionHybrid MethodsArtificial 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.UNEMATUNESP and PPGEELPSSDCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)UNEMAT Univ Estado Mato Grosso, Dept Comp, Colider, MT, BrazilUniv Estadual Paulista, UNESP, Dept Elect Engn, Ilha Solteria, SP, BrazilUniv Estadual Paulista, UNESP, Dept Elect Engn, Ilha Solteria, SP, BrazilCNPq: 309023/2012-2IeeeUNEMAT Univ Estado Mato GrossoUniversidade Estadual Paulista (Unesp)Sartin, Maicon A.Silva, Alexandre C. R. da [UNESP]IEEE2020-12-10T19:31:42Z2020-12-10T19:31:42Z2013-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62013 8th International Workshop On Reconfigurable And Communication-centric Systems-on-chip (recosoc). New York: Ieee, 6 p., 2013.http://hdl.handle.net/11449/196052WOS:000327312100029Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2013 8th International Workshop On Reconfigurable And Communication-centric Systems-on-chip (recosoc)info:eu-repo/semantics/openAccess2024-07-04T19:11:33Zoai:repositorio.unesp.br:11449/196052Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:38:11.440490Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods
title Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods
spellingShingle Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods
Sartin, Maicon A.
hyperbolic tangent
FPGA
activation function
Hybrid Methods
title_short Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods
title_full Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods
title_fullStr Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods
title_full_unstemmed Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods
title_sort Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods
author Sartin, Maicon A.
author_facet Sartin, Maicon A.
Silva, Alexandre C. R. da [UNESP]
IEEE
author_role author
author2 Silva, Alexandre C. R. da [UNESP]
IEEE
author2_role author
author
dc.contributor.none.fl_str_mv UNEMAT Univ Estado Mato Grosso
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Sartin, Maicon A.
Silva, Alexandre C. R. da [UNESP]
IEEE
dc.subject.por.fl_str_mv hyperbolic tangent
FPGA
activation function
Hybrid Methods
topic hyperbolic tangent
FPGA
activation function
Hybrid Methods
description Artificial 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.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01
2020-12-10T19:31:42Z
2020-12-10T19:31:42Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 2013 8th International Workshop On Reconfigurable And Communication-centric Systems-on-chip (recosoc). New York: Ieee, 6 p., 2013.
http://hdl.handle.net/11449/196052
WOS:000327312100029
identifier_str_mv 2013 8th International Workshop On Reconfigurable And Communication-centric Systems-on-chip (recosoc). New York: Ieee, 6 p., 2013.
WOS:000327312100029
url http://hdl.handle.net/11449/196052
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2013 8th International Workshop On Reconfigurable And Communication-centric Systems-on-chip (recosoc)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128837298421760

Registros relacionados