Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series

The following work seeks to evaluate traditional methodologies of time series forecasting compared to the newest artificial intelligence algorithms. Economic and financial time series are used in order to evaluate the efectiveness of these procedures so that this has an economic and practical signif...

Descripción completa

Detalles Bibliográficos
Autor: Lagos Sanchez, Alexander
Tipo de recurso: tesis de maestría
Fecha de publicación:2020
País:España
Institución:Universitat Oberta de Catalunya (UOC)
Repositorio:O2, repositorio institucional de la UOC
OAI Identifier:oai:openaccess.uoc.edu:10609/119646
Acceso en línea:http://hdl.handle.net/10609/119646
Access Level:acceso abierto
Palabra clave:neural networks
forecasting
time series
redes neuronales
pronósticos
series de tiempo
xarxes neuronals
pronòstics
sèries de temps
Artificial intelligence -- TFM
Intel·ligència artificial -- TFM
Inteligencia artificial -- TFM
id ES_c993457c0ea6d43d7d78fbab4186db30
oai_identifier_str oai:openaccess.uoc.edu:10609/119646
network_acronym_str ES
network_name_str España
repository_id_str
spelling Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time seriesLagos Sanchez, Alexanderneural networksforecastingtime seriesredes neuronalespronósticosseries de tiempoxarxes neuronalspronòsticssèries de tempsArtificial intelligence -- TFMIntel·ligència artificial -- TFMInteligencia artificial -- TFMThe following work seeks to evaluate traditional methodologies of time series forecasting compared to the newest artificial intelligence algorithms. Economic and financial time series are used in order to evaluate the efectiveness of these procedures so that this has an economic and practical significance.El siguiente trabajo busca evaluar las metodologías tradicionales de predicción de series de tiempo en comparación con los algoritmos de inteligencia artificial más nuevos. Se utilizan series de tiempo económicas y financieras. con el fin de evaluar la efectividad de estos procedimientos para que esto tenga un significado económico y práctico.El següent treball busca avaluar les metodologies tradicionals de predicció de sèries de temps en comparació amb els algorismes d'intel·ligència artificial més nous. S'utilitzen sèries de temps econòmiques i financeres. amb la finalitat d'avaluar l'efectivitat d'aquests procediments perquè això tingui un significat econòmic i pràctic.Universitat Oberta de Catalunya (UOC)Ventura, CarlesBurguera, Antoni202020202020info:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfhttp://hdl.handle.net/10609/119646reponame:O2, repositorio institucional de la UOCinstname:Universitat Oberta de Catalunya (UOC)InglésCC BY-NC-NDhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:openaccess.uoc.edu:10609/1196462026-05-28T12:42:01Z
dc.title.none.fl_str_mv Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series
title Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series
spellingShingle Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series
Lagos Sanchez, Alexander
neural networks
forecasting
time series
redes neuronales
pronósticos
series de tiempo
xarxes neuronals
pronòstics
sèries de temps
Artificial intelligence -- TFM
Intel·ligència artificial -- TFM
Inteligencia artificial -- TFM
title_short Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series
title_full Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series
title_fullStr Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series
title_full_unstemmed Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series
title_sort Time series forecasting based on artificial intelligence algorithms and their application to economic and financial time series
dc.creator.none.fl_str_mv Lagos Sanchez, Alexander
author Lagos Sanchez, Alexander
author_facet Lagos Sanchez, Alexander
author_role author
dc.contributor.none.fl_str_mv Ventura, Carles
Burguera, Antoni
dc.subject.none.fl_str_mv neural networks
forecasting
time series
redes neuronales
pronósticos
series de tiempo
xarxes neuronals
pronòstics
sèries de temps
Artificial intelligence -- TFM
Intel·ligència artificial -- TFM
Inteligencia artificial -- TFM
topic neural networks
forecasting
time series
redes neuronales
pronósticos
series de tiempo
xarxes neuronals
pronòstics
sèries de temps
Artificial intelligence -- TFM
Intel·ligència artificial -- TFM
Inteligencia artificial -- TFM
description The following work seeks to evaluate traditional methodologies of time series forecasting compared to the newest artificial intelligence algorithms. Economic and financial time series are used in order to evaluate the efectiveness of these procedures so that this has an economic and practical significance.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10609/119646
url http://hdl.handle.net/10609/119646
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv CC BY-NC-ND
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv CC BY-NC-ND
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universitat Oberta de Catalunya (UOC)
publisher.none.fl_str_mv Universitat Oberta de Catalunya (UOC)
dc.source.none.fl_str_mv reponame:O2, repositorio institucional de la UOC
instname:Universitat Oberta de Catalunya (UOC)
instname_str Universitat Oberta de Catalunya (UOC)
reponame_str O2, repositorio institucional de la UOC
collection O2, repositorio institucional de la UOC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419382960029696
score 15,301603

Similares en LA Referencia