Cargando…
Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models
The necessity of the rapid evolution of wireless communications, with continuously increasing demands for higher data rates and capacity Zheng (Big datadriven optimization for mobile networks toward 5g 30:44–51, 2016), is constantly augmenting the complexity of radio frequency (RF) transceiver archi...
Autores principales: | Loughman, Méabh, Barton, Sinéad, Farrell, Ronan, Dooley, John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489559/ https://www.ncbi.nlm.nih.gov/pubmed/36160318 http://dx.doi.org/10.1007/s11277-022-09813-9 |
Ejemplares similares
-
Minibatch Recursive Least Squares Q-Learning
por: Zhang, Chunyuan, et al.
Publicado: (2021) -
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks
por: Arthur, Benjamin J., et al.
Publicado: (2023) -
Recursive least squares background prediction of univariate syndromic surveillance data
por: Najmi, Amir-Homayoon, et al.
Publicado: (2009) -
Recursive N-Way Partial Least Squares for Brain-Computer Interface
por: Eliseyev, Andrey, et al.
Publicado: (2013) -
Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization
por: Zhang, Chunyuan, et al.
Publicado: (2016)