Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/115866
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Constructing optimized binary masks for reservoir computing with delay systems |
Autor: | Appeltant, Lennert; Van der Sande, Guy CSIC ORCID; Danckaert, Jan; Fischer, Ingo CSIC ORCID | Fecha de publicación: | 10-ene-2014 | Editor: | Nature Publishing Group | Citación: | Scientific Reports 4: 3629 (2014) | Resumen: | Reservoir computing is a novel bio-inspired computing method, capable of solving complex tasks in a computationally efficient way. It has recently been successfully implemented using delayed feedback systems, allowing to reduce the hardware complexity of brain-inspired computers drastically. In this approach, the pre-processing procedure relies on the definition of a temporal mask which serves as a scaled time-mutiplexing of the input. Originally, random masks had been chosen, motivated by the random connectivity in reservoirs. This random generation can sometimes fail. Moreover, for hardware implementations random generation is not ideal due to its complexity and the requirement for trial and error. We outline a procedure to reliably construct an optimal mask pattern in terms of multipurpose performance, derived from the concept of maximum length sequences. Not only does this ensure the creation of the shortest possible mask that leads to maximum variability in the reservoir states for the given reservoir, it also allows for an interpretation of the statistical significance of the provided training samples for the task at hand. | Descripción: | This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. | Versión del editor: | http://dx.doi.org/10.1038/srep03629 | URI: | http://hdl.handle.net/10261/115866 | DOI: | 10.1038/srep03629 | Identificadores: | doi: 10.1038/srep03629 issn: 2045-2322 |
Aparece en las colecciones: | (IFISC) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
optimized_binary_masks_Appeltant.pdf | 502,68 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
PubMed Central
Citations
14
checked on 20-abr-2024
SCOPUSTM
Citations
91
checked on 23-abr-2024
WEB OF SCIENCETM
Citations
75
checked on 28-feb-2024
Page view(s)
335
checked on 23-abr-2024
Download(s)
268
checked on 23-abr-2024