Learning FCMs with multi-local and balanced memetic algorithms for forecasting industrial drying processes

Literals

• ou:eid
  • 2-s2.0-85008502691
• bibo:issn
  • 0925-2312
• dcterms:contributor
• fabio:hasPublicationYear
  • 2017
• bibo:eissn
  • 1872-8286
• bibo:doi
  • 10.1016/j.neucom.2016.10.070
• vivo:identifier
  • 2017-812
• dcterms:creator
  • Salmeron J.L.
• bibo:page_range
  • 52-57
• dcterms:publisher
  • Neurocomputing
• ou:tipoPublicacion
  • Article
• dcterms:title
  • Learning FCMs with multi-local and balanced memetic algorithms for forecasting industrial drying processes
• vcard:url
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85008502691&origin=inward
• ou:urlScopus
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85008502691&origin=inward
• bibo:volume
  • 232

Typed Literals

• dcterms:created
  • 2017-04-05T00:00:00 (xsd:dateTime)
• ou:vecesCitado
  • 35 (xsd:integer)

Relations

• ou:publicadaEnRevista
  • NEUROCOMPUTING

Inverse Relations

• Has related: ou:tienePublicacion
  • ANTONIO RUIZ CELMA