RUO Home

Repositorio Institucional de la Universidad de Oviedo

View Item 
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Ponencias, Discursos y Conferencias
  • View Item
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Ponencias, Discursos y Conferencias
  • View Item
    • español
    • English
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of RUOCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issnAuthor profilesThis CollectionBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issn

My Account

LoginRegister

Statistics

View Usage Statistics

RECENTLY ADDED

Last submissions
Repository
How to publish
Resources
FAQs

Improving learning efficiency in multi-objective simulated annealing programming for sound environment classification

Author:
Cocaña Fernández, AlbertoUniovi authority; Sánchez Ramos, LucianoUniovi authority; Ranilla Pastor, JoséUniovi authority; Gil-Pita, Roberto; Sánchez-Hevia, H.
Publication date:
2016
Publisher version:
http://dx.doi.org/10.1109/SAM.2016.7569699
Descripción física:
7569699
Description:

IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016 (2016. Río de Janeiro)

URI:
http://hdl.handle.net/10651/40254
ISBN:
9781509021031
ISSN:
2151-870X
DOI:
10.1109/SAM.2016.7569699
Patrocinado por:

Ministry of Economy and Competitiveness from Spain/FEDER, grants TEC2015-67387-C4-3-R and TIN2014-56967-R, and the Regional Ministry of the Principality of Asturias, grant FC-15-GRUPIN14-073, for funding.Ministry of Economy and Competitiveness from Spain/FEDER, grant TEC2015-67387-C4-2-R, for funding

Collections
  • Ponencias, Discursos y Conferencias [4233]
Files in this item
Métricas
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadata
Show full item record
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
The content of the Repository, unless otherwise specified, is protected with a Creative Commons license: Attribution-Non Commercial-No Derivatives 4.0 Internacional
Creative Commons Image