Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification

Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines (SVM). Therefore, a hybrid model that combines genetic algorithms and support vector mac...

Full description

Saved in:
Bibliographic Details
Main Authors: C. Fernandez-Lozano, C. Canto, M. Gestal, J. M. Andrade-Garda, J. R. Rabuñal, J. Dorado, A. Pazos
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/982438
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832561241842778112
author C. Fernandez-Lozano
C. Canto
M. Gestal
J. M. Andrade-Garda
J. R. Rabuñal
J. Dorado
A. Pazos
author_facet C. Fernandez-Lozano
C. Canto
M. Gestal
J. M. Andrade-Garda
J. R. Rabuñal
J. Dorado
A. Pazos
author_sort C. Fernandez-Lozano
collection DOAJ
description Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines (SVM). Therefore, a hybrid model that combines genetic algorithms and support vector machines is suggested in such a way that, when using SVM as a fitness function of the Genetic Algorithm (GA), the most representative variables for a specific classification problem can be selected.
format Article
id doaj-art-b2bba230a2eb47f09815ae9d22a4cb57
institution Kabale University
issn 1537-744X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-b2bba230a2eb47f09815ae9d22a4cb572025-02-03T01:25:31ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/982438982438Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice ClassificationC. Fernandez-Lozano0C. Canto1M. Gestal2J. M. Andrade-Garda3J. R. Rabuñal4J. Dorado5A. Pazos6Information and Communications Technologies Department, Faculty of Computer Science, University of A Coruña, Campus Elviña s/n, 15071, A Coruña, SpainInformation and Communications Technologies Department, Faculty of Computer Science, University of A Coruña, Campus Elviña s/n, 15071, A Coruña, SpainInformation and Communications Technologies Department, Faculty of Computer Science, University of A Coruña, Campus Elviña s/n, 15071, A Coruña, SpainAnalytical Chemistry Department, Faculty of Sciences, University of A Coruña, Campus da Zapateira s/n, 15008, A Coruña, SpainInformation and Communications Technologies Department, Faculty of Computer Science, University of A Coruña, Campus Elviña s/n, 15071, A Coruña, SpainInformation and Communications Technologies Department, Faculty of Computer Science, University of A Coruña, Campus Elviña s/n, 15071, A Coruña, SpainInformation and Communications Technologies Department, Faculty of Computer Science, University of A Coruña, Campus Elviña s/n, 15071, A Coruña, SpainGiven the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines (SVM). Therefore, a hybrid model that combines genetic algorithms and support vector machines is suggested in such a way that, when using SVM as a fitness function of the Genetic Algorithm (GA), the most representative variables for a specific classification problem can be selected.http://dx.doi.org/10.1155/2013/982438
spellingShingle C. Fernandez-Lozano
C. Canto
M. Gestal
J. M. Andrade-Garda
J. R. Rabuñal
J. Dorado
A. Pazos
Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification
The Scientific World Journal
title Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification
title_full Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification
title_fullStr Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification
title_full_unstemmed Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification
title_short Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification
title_sort hybrid model based on genetic algorithms and svm applied to variable selection within fruit juice classification
url http://dx.doi.org/10.1155/2013/982438
work_keys_str_mv AT cfernandezlozano hybridmodelbasedongeneticalgorithmsandsvmappliedtovariableselectionwithinfruitjuiceclassification
AT ccanto hybridmodelbasedongeneticalgorithmsandsvmappliedtovariableselectionwithinfruitjuiceclassification
AT mgestal hybridmodelbasedongeneticalgorithmsandsvmappliedtovariableselectionwithinfruitjuiceclassification
AT jmandradegarda hybridmodelbasedongeneticalgorithmsandsvmappliedtovariableselectionwithinfruitjuiceclassification
AT jrrabunal hybridmodelbasedongeneticalgorithmsandsvmappliedtovariableselectionwithinfruitjuiceclassification
AT jdorado hybridmodelbasedongeneticalgorithmsandsvmappliedtovariableselectionwithinfruitjuiceclassification
AT apazos hybridmodelbasedongeneticalgorithmsandsvmappliedtovariableselectionwithinfruitjuiceclassification