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Reservoir computing with a single time-delay autonomous Boolean node.
Haynes, Nicholas D; Soriano, Miguel C; Rosin, David P; Fischer, Ingo; Gauthier, Daniel J.
Afiliación
  • Haynes ND; Department of Physics, Duke University, Durham, North Carolina 27708, USA.
  • Soriano MC; Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (CSIC-UIB), Campus Universitat de les Illes Balears, E-07122 Palma de Mallorca, Spain.
  • Rosin DP; Department of Physics, Duke University, Durham, North Carolina 27708, USA.
  • Fischer I; Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (CSIC-UIB), Campus Universitat de les Illes Balears, E-07122 Palma de Mallorca, Spain.
  • Gauthier DJ; Department of Physics, Duke University, Durham, North Carolina 27708, USA.
Article en En | MEDLINE | ID: mdl-25768448
ABSTRACT
We demonstrate reservoir computing with a physical system using a single autonomous Boolean logic element with time-delay feedback. The system generates a chaotic transient with a window of consistency lasting between 30 and 300 ns, which we show is sufficient for reservoir computing. We then characterize the dependence of computational performance on system parameters to find the best operating point of the reservoir. When the best parameters are chosen, the reservoir is able to classify short input patterns with performance that decreases over time. In particular, we show that four distinct input patterns can be classified for 70 ns, even though the inputs are only provided to the reservoir for 7.5 ns.
Asunto(s)
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Computadores Tipo de estudio: Prognostic_studies Idioma: En Revista: Phys Rev E Stat Nonlin Soft Matter Phys Asunto de la revista: BIOFISICA / FISIOLOGIA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos
Buscar en Google
Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Computadores Tipo de estudio: Prognostic_studies Idioma: En Revista: Phys Rev E Stat Nonlin Soft Matter Phys Asunto de la revista: BIOFISICA / FISIOLOGIA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos