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...

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Veröffentlicht in:	Neural networks Jg. 123; S. 108 - 117
Hauptverfasser:	Musci, Mirto, Parigi, Giacomo, Cantoni, Virginio, Piastra, Marco
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.03.2020
Schlagworte:	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
Online-Zugang:	Volltext
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