Application Self-organizing Map Type in a Study of the Profile of Gasoline C Commercialized in the Eastern and Northern Parana Regions

Application Self-organizing Map Type in a Study of the Profile of Gasoline C Commercialized in the Eastern and Northern Parana Regions

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Artificial neural networks self-organizing map type (SOM) was used to classify samples of automotive gasoline C marketed in the eastern and northern regions of the state of Paraná, Brazil. The input order of parameters in the network were the values of temperature of the first drop, the 10, 50 and 9...

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Bibliographic Details
Main Authors: Lívia Ramazzoti Chanan Silva, Karina Gomes Angilelli, Hágata Cremasco, Érica Signori Romagnoli, Aline Regina Walkoff, Dionisio Borsato
Format: Article
Language:English
Published: Universidade Federal de Mato Grosso do Sul 2015-06-01
Series:Orbital: The Electronic Journal of Chemistry
Subjects:
gasoline
weight map
topological map
neural network
Online Access:https://periodicos.ufms.br/index.php/orbital/article/view/17888

Internet

https://periodicos.ufms.br/index.php/orbital/article/view/17888

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