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Non-smooth Bayesian learning for artificial neural networks

Artificial neural networks (ANNs) are being widely used in supervised machine learning to analyze signals or images for many applications. Using an annotated learning database, one of the main challenges is to optimize the network weights. A lot of work on solving optimization problems or improving...

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Detalles Bibliográficos
Autores principales: Fakhfakh, Mohamed, Chaari, Lotfi, Bouaziz, Bassem, Gargouri, Faiez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244188/
https://www.ncbi.nlm.nih.gov/pubmed/35789599
http://dx.doi.org/10.1007/s12652-022-04073-8