Cargando…
EVM Loss: A Loss Function for Training Neural Networks in Communication Systems
Neural networks and their application in communication systems are receiving growing attention from both academia and industry. The authors note that there is a disconnect between the typical objective functions of these neural networks with regards to the context in which the neural network will ev...
Autores principales: | Stainton, Scott, Johnston, Martin, Dlay, Satnam, Haigh, Paul Anthony |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915422/ https://www.ncbi.nlm.nih.gov/pubmed/33562553 http://dx.doi.org/10.3390/s21041094 |
Ejemplares similares
-
Report on the HL-LHC project, including EVM report
Publicado: (2021) -
Towards a Formally Verified EVM in Production Environment
por: Zhang, Xiyue, et al.
Publicado: (2020) -
Status of the accelerator complex and upgrades, including EVM report on HL-LHC
Publicado: (2021) -
High frequency accuracy and loss data of random neural networks trained on image datasets
por: Rorabaugh, Ariel Keller, et al.
Publicado: (2022) -
EVM005: An Ectromelia-Encoded Protein with Dual Roles in NF-κB Inhibition and Virulence
por: van Buuren, Nicholas, et al.
Publicado: (2014)