RBF neural network implementation in hardware

Autores
Leiva, Lucas; Acosta, Nelson
Año de publicación
2009
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper presents a parallel architecture for a radial basis function (RBF) neural network used for pattern recognition. This architecture allows defining sub-networks which can be activated sequentially. It can be used as a fruitful classification mechanism in many application fields. Several implementations of the network on a Xilinx FPGA Virtex 4 - (xc4vsx25) are presented, with speed and area evaluation metrics. Some network improvements have been achieved by segmenting the critical path. The results expressed in terms of speed and area are satisfactory and have been applied to pattern recognition problems.
IV Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Self-modifying machines (e.g., neural networks)
Patterns
Parallel Architectures
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/21209

id SEDICI_3af841a952f490b272f16026677754f8
oai_identifier_str oai:sedici.unlp.edu.ar:10915/21209
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling RBF neural network implementation in hardwareLeiva, LucasAcosta, NelsonCiencias InformáticasSelf-modifying machines (e.g., neural networks)PatternsParallel ArchitecturesThis paper presents a parallel architecture for a radial basis function (RBF) neural network used for pattern recognition. This architecture allows defining sub-networks which can be activated sequentially. It can be used as a fruitful classification mechanism in many application fields. Several implementations of the network on a Xilinx FPGA Virtex 4 - (xc4vsx25) are presented, with speed and area evaluation metrics. Some network improvements have been achieved by segmenting the critical path. The results expressed in terms of speed and area are satisfactory and have been applied to pattern recognition problems.IV Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)Red de Universidades con Carreras en Informática (RedUNCI)2009-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1071-1080http://sedici.unlp.edu.ar/handle/10915/21209enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:47:10Zoai:sedici.unlp.edu.ar:10915/21209Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:47:10.686SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv RBF neural network implementation in hardware
title RBF neural network implementation in hardware
spellingShingle RBF neural network implementation in hardware
Leiva, Lucas
Ciencias Informáticas
Self-modifying machines (e.g., neural networks)
Patterns
Parallel Architectures
title_short RBF neural network implementation in hardware
title_full RBF neural network implementation in hardware
title_fullStr RBF neural network implementation in hardware
title_full_unstemmed RBF neural network implementation in hardware
title_sort RBF neural network implementation in hardware
dc.creator.none.fl_str_mv Leiva, Lucas
Acosta, Nelson
author Leiva, Lucas
author_facet Leiva, Lucas
Acosta, Nelson
author_role author
author2 Acosta, Nelson
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Self-modifying machines (e.g., neural networks)
Patterns
Parallel Architectures
topic Ciencias Informáticas
Self-modifying machines (e.g., neural networks)
Patterns
Parallel Architectures
dc.description.none.fl_txt_mv This paper presents a parallel architecture for a radial basis function (RBF) neural network used for pattern recognition. This architecture allows defining sub-networks which can be activated sequentially. It can be used as a fruitful classification mechanism in many application fields. Several implementations of the network on a Xilinx FPGA Virtex 4 - (xc4vsx25) are presented, with speed and area evaluation metrics. Some network improvements have been achieved by segmenting the critical path. The results expressed in terms of speed and area are satisfactory and have been applied to pattern recognition problems.
IV Workshop Arquitectura, Redes y Sistemas Operativos (WARSO)
Red de Universidades con Carreras en Informática (RedUNCI)
description This paper presents a parallel architecture for a radial basis function (RBF) neural network used for pattern recognition. This architecture allows defining sub-networks which can be activated sequentially. It can be used as a fruitful classification mechanism in many application fields. Several implementations of the network on a Xilinx FPGA Virtex 4 - (xc4vsx25) are presented, with speed and area evaluation metrics. Some network improvements have been achieved by segmenting the critical path. The results expressed in terms of speed and area are satisfactory and have been applied to pattern recognition problems.
publishDate 2009
dc.date.none.fl_str_mv 2009-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/21209
url http://sedici.unlp.edu.ar/handle/10915/21209
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
1071-1080
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1846063896836702208
score 13.22299