Examination of static and 50 Hz electric field effects on tissues by using a hybrid genetic algorithm and neural network

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dc.contributor.authorHardalac, Firat
dc.contributor.authorGuler, Goknur
dc.date.accessioned2020-06-25T17:44:23Z
dc.date.available2020-06-25T17:44:23Z
dc.date.issued2008
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThe effects of electric fields on tissue are the main subject of many investigations. The importance of this subject comes from the electrical properties of the cell membrane and its sensitivity to changes in electrical conditions. Permeability of membranes to various ions can change by the effect of an electric field depending on their conductivity. The performances of cells and tissues change due to differences between the membrane's permeability to various ions and molecules. The aim of this study was to determine lipid peroxidation and superoxide dismutase (SOD) levels in spleen and testis tissues exposed to different intensities and exposure periods of static and 50 Hz alternating electric fields. The increase in SOD and thiobarbituric acid reactive substance levels of spleen and testis tissues was found to depend significantly on the type of electric field and the exposure period. The experimental results are applied to a hybrid genetic algorithm and neural network as learning data and the training of the feedforward neural network is realized. At the end of this training, without applying electric field to tissues, the determination of the effects of the electric field on tissues by using a computer is predicted by the neural network. After the experiments, the prediction of the hybrid genetic algorithm and neural network approach is on average 99.25%-99.99%.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1111/j.1468-0394.2008.00447.x
dc.identifier.endpage366en_US
dc.identifier.issn0266-4720
dc.identifier.issn1468-0394
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-49549125885
dc.identifier.scopusqualityQ1
dc.identifier.startpage349en_US
dc.identifier.urihttps://doi.org/10.1111/j.1468-0394.2008.00447.x
dc.identifier.urihttps://hdl.handle.net/20.500.12587/4091
dc.identifier.volume25en_US
dc.identifier.wosWOS:000258443300002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWileyen_US
dc.relation.ispartofExpert Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectelectric fielden_US
dc.subjectprediction performanceen_US
dc.subjectneural networken_US
dc.subjectgenetic algorithmen_US
dc.subjectradical synthesisen_US
dc.subjectlipid peroxidationen_US
dc.subjectantioxidanten_US
dc.subjectstatic electric fielden_US
dc.subjectpulsed electromagnetic fielden_US
dc.titleExamination of static and 50 Hz electric field effects on tissues by using a hybrid genetic algorithm and neural networken_US
dc.typeArticle

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