An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living. (Rapporti tecnici/preprint/working paper)

Type
Label
  • An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living. (Rapporti tecnici/preprint/working paper) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Alternative label
  • Bacciu D., Barsocchi P., Chessa S., Gallicchio C., Micheli A. (2012)
    An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living.
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bacciu D., Barsocchi P., Chessa S., Gallicchio C., Micheli A. (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 10 (literal)
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  • Grant agreement 269914 - Tipo Progetto EU_FP7 (literal)
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  • 10 (literal)
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  • PuMa (literal)
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  • Altro (literal)
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  • Computer Science Department, University of Pisa; CNR-ISTI, Pisa, Italy; (literal)
Titolo
  • An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living. (literal)
Abstract
  • In this paper we investigate the introduction of Reservoir Computing (RC) neural network models in the context of AAL (Ambient Assisted Living) and self-learning robot ecologies, with a focus on the computational constraints related to the implementation over a network of sensors. Specifically, we experimentally study the relationship between architectural parameters influencing the computational cost of the models and the performance on a task of user movements prediction from sensors signal streams. The RC shows favorable scaling properties results for the analyzed AAL task. (literal)
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