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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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| Udgivet i: | PLoS One |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Public Library of Science
2017
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| Fag: | |
| Online adgang: | 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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