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...

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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:	Hindawi Limited 2013-01-01
Series:	The Scientific World Journal
Online Access:	http://dx.doi.org/10.1155/2013/982438

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spelling	doaj-b2bba230a2eb47f09815ae9d22a4cb572020-11-25T02:46:55ZengHindawi LimitedThe 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
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	C. Fernandez-Lozano C. Canto M. Gestal J. M. Andrade-Garda J. R. Rabuñal J. Dorado A. Pazos
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
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
title	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_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_sort	hybrid model based on genetic algorithms and svm applied to variable selection within fruit juice classification
publisher	Hindawi Limited
series	The Scientific World Journal
issn	1537-744X
publishDate	2013-01-01
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.
url	http://dx.doi.org/10.1155/2013/982438
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Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification

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