<b>The use of multilayer perceptron artificial neural networks for the classification of ethanol samples by commercialization region

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

Internet

http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/27597

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