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Multilevel neuronal architecture to resolve classification problems with large training sets: Parallelization of the training process

Article ID Journal Published Year Pages File Type
6874521 Journal of Computational Science 2016 6 Pages PDF
Abstract
Accordingly, our article proposes a RBF-SOM structure which, thanks to CUDA, parallelizes the training process. This we will denote as CUDA-RBF-SOM architecture.
Keywords
ParallelizationRadial basis function networksartificial neural networksCUDA
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Preview
Multilevel neuronal architecture to resolve classification problems with large training sets: Parallelization of the training process
Authors
Francisco Javier Martínez López, José Antonio Torres Arriaza, Sergio Martínez Puertas, María Mercedes Peralta López,
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Journal
Journal of Computational Science
Journal: Journal of Computational Science
Related Categories
Parallelization
Radial basis function networks
artificial neural networks
CUDA
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Computational Theory and Mathematics
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