Distributed neural computation over WSN in ambient intelligence (Contributo in atti di convegno)

Type
Label
  • Distributed neural computation over WSN in ambient intelligence (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-319-00566-9_19 (literal)
Alternative label
  • Bacciu D., Gallicchio C., Lenzi A., Chessa S. , Micheli A., Pelagatti S., Vairo C. (2013)
    Distributed neural computation over WSN in ambient intelligence
    in Ambient Intelligence - Software and Applications. 4th International Symposium on Ambient Intelligence, Salamanca, 22-24 May 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bacciu D., Gallicchio C., Lenzi A., Chessa S. , Micheli A., Pelagatti S., Vairo C. (literal)
Pagina inizio
  • 147 (literal)
Pagina fine
  • 154 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Progetto: Robotics UBIquitous COgnitive Network Acronimo: RUBICON Grant agreement: 269914 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://link.springer.com/chapter/10.1007%2F978-3-319-00566-9_19 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 219 (literal)
Note
  • PuMa (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Computer Science Department, University of Pisa,Italy; Computer Science Department, University of Pisa, Italy; Computer Science Department, University of Pisa, Italy; Computer Science Department, University of Pisa, Italy; Computer Science Department, University of Pisa, Italy; Computer Science Department, University of Pisa, Italy; CNR-ISTI, Pisa, Italy. (literal)
Titolo
  • Distributed neural computation over WSN in ambient intelligence (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-319-00565-2 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Ad van Berlo, Kasper Hallenborg, Juan M. Corchado Rodríguez, Dante I. Tapia, Paulo Novais (literal)
Abstract
  • Ambient Intelligence (AmI) applications need information about the surrounding environment. This can be collected by means of Wireless Sensor Networks (WSN) that also analyze and build forecasts for applications. The RUBICON Learning Layer implements a distributed neural computation over WSN. In this system, measurements taken by sensors are combined by using neural computation to provide future forecasts based on previous measurements and on the past knowledge of the environment. (literal)
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