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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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Dettagli Bibliografici
Pubblicato in:Acta Scientiarum. Technology
Autori principali: Erica Signori Romagnoli, Lívia Ramazzoti Chanan Silva, Karina Gomes Angilelli, Bruna Aparecida Denobi Ferreira, Aline Regina Walkoff, Dionisio Borsato
Natura: Artigo
Lingua:Inglês
Pubblicazione: Universidade Estadual de Maringá 2016
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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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