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Multilayer perceptron architecture optimization using parallel computing techniques
The objective of this research was to develop a methodology for optimizing multilayer-perceptron-type neural networks by evaluating the effects of three neural architecture parameters, namely, number of hidden layers (HL), neurons per hidden layer (NHL), and activation function type (AF), on the sum...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5728525/ https://ncbi.nlm.nih.gov/pubmed/29236744 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0189369 |
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