A review of DAN2 model
In this paper we prove that the original DAN2 model can be rewritten as an additive model. We show that our formulation has several advantages: first, it reduces the total number of parameters to estimate; second, it allows estimating all the linear parameters using ordinary least squares or ridge r...
- Autores:
-
Velasquez Henao, Juan David
Franco Cardona, Carlos Jaime
Olaya Morales, Yris
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2012
- Institución:
- Pontificia Universidad Javeriana
- Repositorio:
- Repositorio Universidad Javeriana
- Idioma:
- spa
- OAI Identifier:
- oai:repository.javeriana.edu.co:10554/25588
- Acceso en línea:
- http://revistas.javeriana.edu.co/index.php/iyu/article/view/1444
http://hdl.handle.net/10554/25588
- Palabra clave:
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional
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Atribución-NoComercial-SinDerivadas 4.0 Internacionalinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Velasquez Henao, Juan DavidFranco Cardona, Carlos JaimeOlaya Morales, Yris2020-04-16T17:28:13Z2020-04-16T17:28:13Z2012-03-16http://revistas.javeriana.edu.co/index.php/iyu/article/view/14442011-27690123-2126http://hdl.handle.net/10554/25588In this paper we prove that the original DAN2 model can be rewritten as an additive model. We show that our formulation has several advantages: first, it reduces the total number of parameters to estimate; second, it allows estimating all the linear parameters using ordinary least squares or ridge regression; and, finally, it improves the search for the global minimum of the error function used to estimate the model parameters. To assess the effectiveness of our approach, we estimate two models for one of the time series used as a benchmark when the original DAN2 model was proposed. The results indicate that our approach is able to find models with similar or better accuracy than the original DAN2.PDFapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentspaPontificia Universidad Javerianahttp://revistas.javeriana.edu.co/index.php/iyu/article/view/1444/1850http://revistas.javeriana.edu.co/index.php/iyu/article/view/1444/17601Ingenieria y Universidad; Vol 16 No 1 (2012): January-June; 135Ingenieria y Universidad; Vol. 16 Núm. 1 (2012): Enero-Junio; 135A review of DAN2 modelhttp://purl.org/coar/version/c_970fb48d4fbd8a85Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleArticle10554/25588oai:repository.javeriana.edu.co:10554/255882023-03-29 12:44:07.74Repositorio Institucional - Pontificia Universidad Javerianarepositorio@javeriana.edu.co |
dc.title.spa.fl_str_mv |
A review of DAN2 model |
title |
A review of DAN2 model |
spellingShingle |
A review of DAN2 model |
title_short |
A review of DAN2 model |
title_full |
A review of DAN2 model |
title_fullStr |
A review of DAN2 model |
title_full_unstemmed |
A review of DAN2 model |
title_sort |
A review of DAN2 model |
dc.creator.fl_str_mv |
Velasquez Henao, Juan David Franco Cardona, Carlos Jaime Olaya Morales, Yris |
dc.contributor.author.none.fl_str_mv |
Velasquez Henao, Juan David Franco Cardona, Carlos Jaime Olaya Morales, Yris |
description |
In this paper we prove that the original DAN2 model can be rewritten as an additive model. We show that our formulation has several advantages: first, it reduces the total number of parameters to estimate; second, it allows estimating all the linear parameters using ordinary least squares or ridge regression; and, finally, it improves the search for the global minimum of the error function used to estimate the model parameters. To assess the effectiveness of our approach, we estimate two models for one of the time series used as a benchmark when the original DAN2 model was proposed. The results indicate that our approach is able to find models with similar or better accuracy than the original DAN2. |
publishDate |
2012 |
dc.date.created.none.fl_str_mv |
2012-03-16 |
dc.date.accessioned.none.fl_str_mv |
2020-04-16T17:28:13Z |
dc.date.available.none.fl_str_mv |
2020-04-16T17:28:13Z |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.hasversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.local.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.other.none.fl_str_mv |
Article |
format |
http://purl.org/coar/resource_type/c_6501 |
dc.identifier.none.fl_str_mv |
http://revistas.javeriana.edu.co/index.php/iyu/article/view/1444 |
dc.identifier.issn.none.fl_str_mv |
2011-2769 0123-2126 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10554/25588 |
url |
http://revistas.javeriana.edu.co/index.php/iyu/article/view/1444 http://hdl.handle.net/10554/25588 |
identifier_str_mv |
2011-2769 0123-2126 |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.relation.uri.none.fl_str_mv |
http://revistas.javeriana.edu.co/index.php/iyu/article/view/1444/1850 http://revistas.javeriana.edu.co/index.php/iyu/article/view/1444/17601 |
dc.relation.citationissue.eng.fl_str_mv |
Ingenieria y Universidad; Vol 16 No 1 (2012): January-June; 135 |
dc.relation.citationissue.spa.fl_str_mv |
Ingenieria y Universidad; Vol. 16 Núm. 1 (2012): Enero-Junio; 135 |
dc.rights.licence.*.fl_str_mv |
Atribución-NoComercial-SinDerivadas 4.0 Internacional |
dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Atribución-NoComercial-SinDerivadas 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.spa.fl_str_mv |
PDF |
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application/pdf application/vnd.openxmlformats-officedocument.wordprocessingml.document |
dc.publisher.eng.fl_str_mv |
Pontificia Universidad Javeriana |
institution |
Pontificia Universidad Javeriana |
repository.name.fl_str_mv |
Repositorio Institucional - Pontificia Universidad Javeriana |
repository.mail.fl_str_mv |
repositorio@javeriana.edu.co |
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1814338098109087744 |