Echo State Queueing Networks: a combination of Reservoir Computing and Random Neural Networks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Probability in the Engineering and Informational Sciences Year : 2017

Echo State Queueing Networks: a combination of Reservoir Computing and Random Neural Networks

Abstract

This paper deals with two ideas appeared during the last developing phase in Artificial Intelligence: Reservoir Computing and Random Neural Networks. Both have been very successful in many applications. We propose a new model belonging to the first class, taking the structure of the second for its dynamics. The new model is called Echo State Queuing Network. The paper positions the model in the global Machine Learning area, and provides examples of its use and performances. We show on largely used benchmarks that it is a very accurate tool, and we illustrate how it compares with standard Reservoir
Fichier principal
Vignette du fichier
v4-GR.pdf (386.87 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01663499 , version 1 (14-12-2017)

Identifiers

Cite

Gerardo Rubino, Sebastián Basterrech. Echo State Queueing Networks: a combination of Reservoir Computing and Random Neural Networks. Probability in the Engineering and Informational Sciences, 2017, 31 (4), pp.457-476. ⟨10.1017/S0269964817000110⟩. ⟨hal-01663499⟩
296 View
483 Download

Altmetric

Share

Gmail Facebook X LinkedIn More