Analysis of parallel process in hvac systems using deep autoencoders

dc.contributor.author	Morán, A.
dc.contributor.author	Alonso, S.
dc.contributor.author	Prada, M. A.
dc.contributor.author	Fuertes, J. J.
dc.contributor.author	Díaz Blanco, Ignacio
dc.contributor.author	Domínguez, M.
dc.date.accessioned	2018-02-06T10:11:08Z
dc.date.available	2018-02-06T10:11:08Z
dc.date.issued	2017
dc.identifier.isbn	978-3-319-65171-2
dc.identifier.issn	1865-0929
dc.identifier.uri	http://hdl.handle.net/10651/45407
dc.description	International Conference on Engineering Applications of Neural Networks, EANN 2017 (18th. 2017. Greece)
dc.description.sponsorship	DPI2015-69891-C2-1-R/2-R, CICYT, Comisión Interministerial de Ciencia y Tecnología; MICINN, Ministerio de Ciencia e Innovación
dc.format.extent	p. 15-26
dc.language.iso	eng
dc.relation.ispartof	18th International Conference on Engineering Applications of Neural Networks, EANN 2017
dc.relation.ispartofseries	Communications in Computer and Information Science, 744
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028333689&doi=10.1007%2f978-3-319-65172-9_2&partnerID=40&md5=2e554463be0fe59f9789a198534c13b3
dc.title	Analysis of parallel process in hvac systems using deep autoencoders
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-319-65172-9_2
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-319-65172-9_2

Ficheros en el ítem

Ficheros	Tamaño	Formato	Ver
No hay ficheros asociados a este ítem.