<b>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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Bibliographic Details

Published in:	Acta Scientiarum: Technology
Main Authors:	Érica Signori Romagnoli, Lívia Ramazzoti Chanan Silva, Karina Gomes Angilelli, Bruna Aparecida Denobi Ferreira, Aline Regina Walkoff, Dionisio Borsato
Format:	Article
Language:	Portuguese
Published:	Universidade Estadual de Maringá 2016-04-01
Subjects:	biofuel backpropagation hidden layer training
Online Access:	http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/27597