Application Self-organizing Map Type in a Study of the Profile of Gasoline C Commercialized in the Eastern and Northern Parana Regions
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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal de Mato Grosso do Sul
2015-06-01
|
| Series: | Orbital: The Electronic Journal of Chemistry |
| Subjects: | |
| Online Access: | https://periodicos.ufms.br/index.php/orbital/article/view/17888 |
| _version_ | 1828057754655260672 |
|---|---|
| author | Lívia Ramazzoti Chanan Silva Karina Gomes Angilelli Hágata Cremasco Érica Signori Romagnoli Aline Regina Walkoff Dionisio Borsato |
| author_facet | Lívia Ramazzoti Chanan Silva Karina Gomes Angilelli Hágata Cremasco Érica Signori Romagnoli Aline Regina Walkoff Dionisio Borsato |
| author_sort | Lívia Ramazzoti Chanan Silva |
| collection | DOAJ |
| description | 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 90% distilled bulk, the final boiling point, density, residue content and alcohol content. A network with a topology of 25x25 and 5000 training epochs was used. The weight maps of input parameters for the trained network identified that the most important parameters for classifying samples were the temperature of the first drop and the temperature of the 10% and 50% of the distilled fuel.
DOI: http://dx.doi.org/10.17807/orbital.v7i2.732
|
| first_indexed | 2024-04-10T21:17:17Z |
| format | Article |
| id | doaj.art-3fa7d40285b1489d942af12e85c7206c |
| institution | Directory Open Access Journal |
| issn | 1984-6428 |
| language | English |
| last_indexed | 2024-04-10T21:17:17Z |
| publishDate | 2015-06-01 |
| publisher | Universidade Federal de Mato Grosso do Sul |
| record_format | Article |
| series | Orbital: The Electronic Journal of Chemistry |
| spelling | doaj.art-3fa7d40285b1489d942af12e85c7206c2023-01-20T11:04:13ZengUniversidade Federal de Mato Grosso do SulOrbital: The Electronic Journal of Chemistry1984-64282015-06-0172Application Self-organizing Map Type in a Study of the Profile of Gasoline C Commercialized in the Eastern and Northern Parana RegionsLívia Ramazzoti Chanan Silva0Karina Gomes Angilelli1Hágata Cremasco2Érica Signori Romagnoli3Aline Regina Walkoff4Dionisio Borsato5State University Of Londrina, Chemistry Department, Fuels Analyses and Research LaboratoryState University Of Londrina, Chemistry Department, Fuels Analyses and Research LaboratoryState University Of Londrina, Chemistry Department, Fuels Analyses and Research LaboratoryState University Of Londrina, Chemistry Department, Fuels Analyses and Research LaboratoryState University Of Londrina, Chemistry Department, Fuels Analyses and Research LaboratoryState University Of Londrina, Chemistry Department, Fuels Analyses and Research LaboratoryArtificial 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 90% distilled bulk, the final boiling point, density, residue content and alcohol content. A network with a topology of 25x25 and 5000 training epochs was used. The weight maps of input parameters for the trained network identified that the most important parameters for classifying samples were the temperature of the first drop and the temperature of the 10% and 50% of the distilled fuel. DOI: http://dx.doi.org/10.17807/orbital.v7i2.732 https://periodicos.ufms.br/index.php/orbital/article/view/17888gasolineweight maptopological mapneural network |
| spellingShingle | Lívia Ramazzoti Chanan Silva Karina Gomes Angilelli Hágata Cremasco Érica Signori Romagnoli Aline Regina Walkoff Dionisio Borsato Application Self-organizing Map Type in a Study of the Profile of Gasoline C Commercialized in the Eastern and Northern Parana Regions Orbital: The Electronic Journal of Chemistry gasoline weight map topological map neural network |
| title | Application Self-organizing Map Type in a Study of the Profile of Gasoline C Commercialized in the Eastern and Northern Parana Regions |
| title_full | Application Self-organizing Map Type in a Study of the Profile of Gasoline C Commercialized in the Eastern and Northern Parana Regions |
| title_fullStr | Application Self-organizing Map Type in a Study of the Profile of Gasoline C Commercialized in the Eastern and Northern Parana Regions |
| title_full_unstemmed | Application Self-organizing Map Type in a Study of the Profile of Gasoline C Commercialized in the Eastern and Northern Parana Regions |
| title_short | Application Self-organizing Map Type in a Study of the Profile of Gasoline C Commercialized in the Eastern and Northern Parana Regions |
| title_sort | application self organizing map type in a study of the profile of gasoline c commercialized in the eastern and northern parana regions |
| topic | gasoline weight map topological map neural network |
| url | https://periodicos.ufms.br/index.php/orbital/article/view/17888 |
| work_keys_str_mv | AT liviaramazzotichanansilva applicationselforganizingmaptypeinastudyoftheprofileofgasolineccommercializedintheeasternandnorthernparanaregions AT karinagomesangilelli applicationselforganizingmaptypeinastudyoftheprofileofgasolineccommercializedintheeasternandnorthernparanaregions AT hagatacremasco applicationselforganizingmaptypeinastudyoftheprofileofgasolineccommercializedintheeasternandnorthernparanaregions AT ericasignoriromagnoli applicationselforganizingmaptypeinastudyoftheprofileofgasolineccommercializedintheeasternandnorthernparanaregions AT alinereginawalkoff applicationselforganizingmaptypeinastudyoftheprofileofgasolineccommercializedintheeasternandnorthernparanaregions AT dionisioborsato applicationselforganizingmaptypeinastudyoftheprofileofgasolineccommercializedintheeasternandnorthernparanaregions |