A scalable multi-signal approach for the parallelization of self-organizing neural networks

Self-Organizing Neural Networks (SONNs) have a wide range of applications with massive computational requirements that often need to be satisfied with optimized parallel algorithms and implementations. In literature, SONN have been generally parallelized with GPU computing according to a single-sign...

Celý popis

Podrobná bibliografie

Vydáno v:	Neural networks Ročník 123; s. 108 - 117
Hlavní autoři:	Musci, Mirto, Parigi, Giacomo, Cantoni, Virginio, Piastra, Marco
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.03.2020
Témata:	GPU parallelization Self-organizing adaptive map Self-organizing neural networks Surface reconstruction Surface reconstruction GPU parallelization Self-organizing adaptive map Self-organizing neural networks
ISSN:	0893-6080, 1879-2782, 1879-2782
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!