| Literature DB >> 33611064 |
Lukas Gonon1, Juan-Pablo Ortega2.
Abstract
Echo state networks (ESNs) have been recently proved to be universal approximants for input/output systems with respect to various Lp-type criteria. When 1≤p<∞, only p-integrability hypotheses need to be imposed, while in the case p=∞ a uniform boundedness hypotheses on the inputs is required. This note shows that, in the last case, a universal family of ESNs can be constructed that contains exclusively elements that have the echo state and the fading memory properties. This conclusion could not be drawn with the results and methods available so far in the literature.Keywords: Echo state network; Echo state property; Fading memory property; Machine learning; Reservoir computing; Universality
Mesh:
Year: 2021 PMID: 33611064 DOI: 10.1016/j.neunet.2021.01.025
Source DB: PubMed Journal: Neural Netw ISSN: 0893-6080