Component Analysis and Time Series Prediction

dc.contributor	Universitat Ramon Llull. La Salle
dc.contributor.author	Gómez Ramírez, Eduardo
dc.contributor.author	Martorell Rodon, Josep M.
dc.contributor.author	Vilasís Cardona, Xavier
dc.date.accessioned	2021-05-07T09:20:56Z
dc.date.accessioned	2023-07-13T09:52:26Z
dc.date.available	2021-05-07T09:20:56Z
dc.date.available	2023-07-13T09:52:26Z
dc.date.created	2001-10
dc.date.issued	2001-10
dc.identifier.uri	http://hdl.handle.net/20.500.14342/2918
dc.description.abstract	The relation between component analysis (PCA and ICA) and Multi-resolution Filtering is explained and its use to improve the prediction error in a time series is shown. An example applying the previous results to forecast the Sun-spots time series is presented.	eng
dc.format.extent	7 p.	cat
dc.language.iso	eng	cat
dc.publisher	4rt Congrés Català d'Intel.ligència Artificial, Barcelona, 24-25 d'octubre de 2001	cat
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights	© ACIA
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	RECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.other	Lògica matemàtica	cat
dc.subject.other	Intel·ligència artificial -- Aplicacions a l'educació	cat
dc.title	Component Analysis and Time Series Prediction	cat
dc.type	info:eu-repo/semantics/conferenceObject	cat
dc.rights.accessLevel	info:eu-repo/semantics/openAccess
dc.embargo.terms	cap	cat
dc.subject.udc	51
dc.subject.udc	62

Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/