NNGen: a powerful tool for the implementation of Artificial Neural Networks on a chip

Autores
Tosini, Marcelo Alejandro; Acosta, Gerardo Gabriel
Año de publicación
2004
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A design and development tool to achieve artificial neural networks (ANN) implemented in a Field Programmable Gate Array (FPGA), is presented in this article. Its main components and functionality are thoroughly described. This tool, called NNGen, allows constructing digital ANN, which are easily programmable selecting different parameters. The output of such programming task is directly VHDL code to be ported to, in principle, any chip of the mentioned kind. A case study of a multilayer perceptron applied to weather forecast that was fully designed with NNGen, is also analyzed to obtain some conclusions.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/135316

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network_name_str SEDICI (UNLP)
spelling NNGen: a powerful tool for the implementation of Artificial Neural Networks on a chipTosini, Marcelo AlejandroAcosta, Gerardo GabrielCiencias InformáticasA design and development tool to achieve artificial neural networks (ANN) implemented in a Field Programmable Gate Array (FPGA), is presented in this article. Its main components and functionality are thoroughly described. This tool, called NNGen, allows constructing digital ANN, which are easily programmable selecting different parameters. The output of such programming task is directly VHDL code to be ported to, in principle, any chip of the mentioned kind. A case study of a multilayer perceptron applied to weather forecast that was fully designed with NNGen, is also analyzed to obtain some conclusions.Sociedad Argentina de Informática e Investigación Operativa2004-06-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf42-52http://sedici.unlp.edu.ar/handle/10915/135316enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/121info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:25:51Zoai:sedici.unlp.edu.ar:10915/135316Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:25:51.702SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv NNGen: a powerful tool for the implementation of Artificial Neural Networks on a chip
title NNGen: a powerful tool for the implementation of Artificial Neural Networks on a chip
spellingShingle NNGen: a powerful tool for the implementation of Artificial Neural Networks on a chip
Tosini, Marcelo Alejandro
Ciencias Informáticas
title_short NNGen: a powerful tool for the implementation of Artificial Neural Networks on a chip
title_full NNGen: a powerful tool for the implementation of Artificial Neural Networks on a chip
title_fullStr NNGen: a powerful tool for the implementation of Artificial Neural Networks on a chip
title_full_unstemmed NNGen: a powerful tool for the implementation of Artificial Neural Networks on a chip
title_sort NNGen: a powerful tool for the implementation of Artificial Neural Networks on a chip
dc.creator.none.fl_str_mv Tosini, Marcelo Alejandro
Acosta, Gerardo Gabriel
author Tosini, Marcelo Alejandro
author_facet Tosini, Marcelo Alejandro
Acosta, Gerardo Gabriel
author_role author
author2 Acosta, Gerardo Gabriel
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
topic Ciencias Informáticas
dc.description.none.fl_txt_mv A design and development tool to achieve artificial neural networks (ANN) implemented in a Field Programmable Gate Array (FPGA), is presented in this article. Its main components and functionality are thoroughly described. This tool, called NNGen, allows constructing digital ANN, which are easily programmable selecting different parameters. The output of such programming task is directly VHDL code to be ported to, in principle, any chip of the mentioned kind. A case study of a multilayer perceptron applied to weather forecast that was fully designed with NNGen, is also analyzed to obtain some conclusions.
Sociedad Argentina de Informática e Investigación Operativa
description A design and development tool to achieve artificial neural networks (ANN) implemented in a Field Programmable Gate Array (FPGA), is presented in this article. Its main components and functionality are thoroughly described. This tool, called NNGen, allows constructing digital ANN, which are easily programmable selecting different parameters. The output of such programming task is directly VHDL code to be ported to, in principle, any chip of the mentioned kind. A case study of a multilayer perceptron applied to weather forecast that was fully designed with NNGen, is also analyzed to obtain some conclusions.
publishDate 2004
dc.date.none.fl_str_mv 2004-06-26
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/135316
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/121
info:eu-repo/semantics/altIdentifier/issn/1514-6774
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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reponame_str SEDICI (UNLP)
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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