Classification of educational backgrounds of students using musical intelligence and perception with the help of genetic neural networks

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dc.contributor.authorHardalaç, Fırat
dc.date.accessioned2020-06-25T17:48:30Z
dc.date.available2020-06-25T17:48:30Z
dc.date.issued2009
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIn this study, we demonstrate that machine learning can be used to classify students who had backgrounds in positive-sciences (including engineering, science and math disciplines) vs. social-sciences (including arts and humanities disciplines) by the help of musical hearing and perception using genetic neural networks. Our 80 test subjects had an even mixture of both aforementioned disciplines. Each participant is asked to listen to a melody played on a piano and to repeat the melody himself verbally. Both the original melody and participants repetition is recorded and frequency and amplitude response is analyzed by using fast Fourier transform (FFT). This information is applied to hybrid genetic algorithm and neural networks as learning data and the training of the feed forward neural network is realized. Our results show that by using musical perception our genetic neural network classifies students with positive- and social-science backgrounds at a success rate of 95% and 90%, respectively. (C) 2008 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.eswa.2008.08.061
dc.identifier.endpage6713en_US
dc.identifier.issn0957-4174
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-58349117654
dc.identifier.scopusqualityQ1
dc.identifier.startpage6708en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2008.08.061
dc.identifier.urihttps://hdl.handle.net/20.500.12587/4470
dc.identifier.volume36en_US
dc.identifier.wosWOS:000263817100117
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithmen_US
dc.subjectNeural networksen_US
dc.subjectFast Fourier transform (FFT)en_US
dc.subjectEducationen_US
dc.subjectMusical hearingen_US
dc.subjectPure tone audiometryen_US
dc.titleClassification of educational backgrounds of students using musical intelligence and perception with the help of genetic neural networksen_US
dc.typeArticle

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