The use of multilayer perceptron artificial neural networks for the classification of ethanol samples by commercialization region
Samples of automotive ethanol, marketed in the northern and eastern regions of the state of Paraná, Brazil, underwent physical and chemical tests. Rates were assessed by Multilayer Perceptron (MLP) neural network for classification. For network training, two hundred epochs, a 0.05 learning rate and...
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| Pubblicato in: | Acta Scientiarum. Technology |
|---|---|
| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Universidade Estadual de Maringá
2016
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| Soggetti: | |
| Accesso online: | https://www.redalyc.org/articulo.oa?id=303245370012 https://www.redalyc.org/journal/3032/303245370012/ https://www.redalyc.org/journal/3032/303245370012/html/ https://www.redalyc.org/journal/3032/303245370012/303245370012.epub https://www.redalyc.org/journal/3032/303245370012/movil |
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