Automatic design of artificial neural networks to forecast time series

Peralta, Juan; Gutiérrez Sánchez, Germán; Sanchis de Miguel, María Araceli

Publication:
Automatic design of artificial neural networks to forecast time series

dc.affiliation.dpto	UC3M. Departamento de Informática	es
dc.affiliation.grupoinv	UC3M. Grupo de Investigación: Laboratorio de Control, Aprendizaje y Optimización de Sistemas (CAOS)	es
dc.contributor.author	Peralta, Juan
dc.contributor.author	Gutiérrez Sánchez, Germán
dc.contributor.author	Sanchis de Miguel, María Araceli
dc.date.accessioned	2011-11-04T15:41:55Z
dc.date.available	2011-11-04T15:41:55Z
dc.date.issued	2010
dc.description	Actas de: III Simposio de Inteligencia Computacional, SICO 2010, Valencia, 8-10 septiembre, 2010
dc.description.abstract	In this work an approach to design Artificial Neural Networks (ANN) to forecast Time Series is tackled. The approach is an automatic method that is carried out by an Evolutionary Algorithm (as a search algorithm) to design ANN. A key issue for these kinds of approaches is what information is included into the chromosome that represents an ANN There are two principal ideas about this question: first, the chromosome contains information about parameters of the topology, architecture, learning parameters, etc. of the ANN. The results using a parameter Encoding Scheme to design ANN for a Time Series Competition are shown
dc.description.status	Publicado
dc.format.mimetype	application/pdf
dc.identifier.bibliographicCitation	Rojas Ruiz, Ignacio; Pomares Cintas, Héctor; Herrera Maldonado, Luis Javier (eds.). Actas del III Simposio de Inteligencia Computacional, SICO 2010 : Jornadas organizadas por Capítulo Español de la IEEE Computational Intelligence Society. Madrid: Ibergarceta, 2010, p. 237-342. ISBN 978-84-92812-62-2
dc.identifier.isbn	978-84-92812-62-2
dc.identifier.publicationfirstpage	237
dc.identifier.publicationlastpage	342
dc.identifier.publicationtitle	Actas del III Simposio de Inteligencia Computacional, SICO 2010 : Jornadas organizadas por Capítulo Español de la IEEE Computational Intelligence Society
dc.identifier.uri	https://hdl.handle.net/10016/12504
dc.language.iso	eng
dc.publisher	Ibergarceta
dc.relation.eventdate	Septiembre 8-10, 2010
dc.relation.eventnumber	3
dc.relation.eventplace	Valencia
dc.relation.eventtitle	III Simposio de Inteligencia Computacional, SICO 2010
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRights	open access
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.eciencia	Informática
dc.subject.other	Artificial Neural Networks
dc.subject.other	Time Series
dc.subject.other	Evolutionary computation
dc.subject.other	Forecasting
dc.subject.other	Evolutionary algorithms
dc.title	Automatic design of artificial neural networks to forecast time series
dc.type	conference paper	*
dc.type.hasVersion	VoR	*
dspace.entity.type	Publication