We study the impact of architectural simplifications to the design of deep Reservoir Computing (RC) models. To do so, we analyze the effects of shaping the structure of reservoir matrices, reducing the complexity of the deep recurrent network to a minimal setup. Experimental results point out the benefits of a particularly simple deep RC architecture with ring topology in each reservoir layer and deterministically constructed input and inter-reservoir connections.

Simplifying Deep Reservoir Architectures

Claudio Gallicchio;Alessio Micheli;
2020-01-01

Abstract

We study the impact of architectural simplifications to the design of deep Reservoir Computing (RC) models. To do so, we analyze the effects of shaping the structure of reservoir matrices, reducing the complexity of the deep recurrent network to a minimal setup. Experimental results point out the benefits of a particularly simple deep RC architecture with ring topology in each reservoir layer and deterministically constructed input and inter-reservoir connections.
2020
978-2-87587-073-5
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1072572
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact