Next generation reservoir computing
Reservoir computers are artificial neural networks that can be trained on small data sets, but require large random matrices and numerous metaparameters. The authors propose an improved reservoir computer that overcomes these limitations and shows advantageous performance for complex forecasting tas...
Guardado en:
Autores principales: | , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a188e94135aa40e8af0b78655f0dc46a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:a188e94135aa40e8af0b78655f0dc46a |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:a188e94135aa40e8af0b78655f0dc46a2021-12-02T18:14:23ZNext generation reservoir computing10.1038/s41467-021-25801-22041-1723https://doaj.org/article/a188e94135aa40e8af0b78655f0dc46a2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25801-2https://doaj.org/toc/2041-1723Reservoir computers are artificial neural networks that can be trained on small data sets, but require large random matrices and numerous metaparameters. The authors propose an improved reservoir computer that overcomes these limitations and shows advantageous performance for complex forecasting tasksDaniel J. GauthierErik BolltAaron GriffithWendson A. S. BarbosaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-8 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Science Q |
spellingShingle |
Science Q Daniel J. Gauthier Erik Bollt Aaron Griffith Wendson A. S. Barbosa Next generation reservoir computing |
description |
Reservoir computers are artificial neural networks that can be trained on small data sets, but require large random matrices and numerous metaparameters. The authors propose an improved reservoir computer that overcomes these limitations and shows advantageous performance for complex forecasting tasks |
format |
article |
author |
Daniel J. Gauthier Erik Bollt Aaron Griffith Wendson A. S. Barbosa |
author_facet |
Daniel J. Gauthier Erik Bollt Aaron Griffith Wendson A. S. Barbosa |
author_sort |
Daniel J. Gauthier |
title |
Next generation reservoir computing |
title_short |
Next generation reservoir computing |
title_full |
Next generation reservoir computing |
title_fullStr |
Next generation reservoir computing |
title_full_unstemmed |
Next generation reservoir computing |
title_sort |
next generation reservoir computing |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/a188e94135aa40e8af0b78655f0dc46a |
work_keys_str_mv |
AT danieljgauthier nextgenerationreservoircomputing AT erikbollt nextgenerationreservoircomputing AT aarongriffith nextgenerationreservoircomputing AT wendsonasbarbosa nextgenerationreservoircomputing |
_version_ |
1718378411259330560 |