Self-Organizing Maps Neural Networks Applied to the Classification of Ethanol Samples According to the Region of Commercialization

Self-Organizing Maps Neural Networks Applied to the Classification of Ethanol Samples According to the Region of Commercialization

<p class="orbitalabstract">Physical-chemical analysis data were collected, from 998 ethanol samples of automotive ethanol commercialized in the northern, midwestern and eastern regions of the state of Paraná. The data presented self-organizing maps (SOM) neural networks, which classi...

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Bibliographic Details
Main Authors: Aline Regina Walkoff, Sandra Regina Masetto Antunes, Maria Elena Payret Arrúa, Lívia Ramazzoti Chanan Silva, Dionisio Borsato, Paulo Rogério Pinto Rodrigues
Format: Article
Language:English
Published: Universidade Federal de Mato Grosso do Sul 2017-10-01
Series:Orbital: The Electronic Journal of Chemistry
Subjects:
kohonen
ph
segmentation
sugarcane
Online Access:http://orbital.ufms.br/index.php/Chemistry/article/view/982

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