title: Examination of electric field effects on tissues by using back propagation neural network.
abstract: The aim of this study is to determine lipid peroxidation and antioxidant enzyme levels in spleen and testis tissues of guinea pigs which were exposed to different intensities and periods of DC (direct current) and AC (alternating current) electric fields. The experimental results are applied to neural networks as learning data and the training of the feed forward neural network is realized. At the end of this training; without applying electric field to the tissues, the determination of the effects of the electric field on tissues by using computer is predicted by the neural network. After the experiments, the prediction of the neural network is averagely 99%.
authors.affiliation: Department of Biophysics, Gazi University, Ankara, Turkey.
authors.forename: Göknur
authors.initials: G
authors.lastname: Güler
authors.forename: Firat
authors.initials: F
authors.lastname: Hardalaç
authors.forename: Aysel
authors.initials: A
authors.lastname: Aricioğlu
mesh_terms: D000818:Animals; D004574:Electromagnetic Fields / Q000009:adverse effects*; D006168:Guinea Pigs; D015227:Lipid Peroxidation; D008297:Male; D008315:Malondialdehyde / Q000032:analysis; D016571:Neural Networks, Computer; D013154:Spleen / Q000378:metabolism / Q000528:radiation effects; D013482:Superoxide Dismutase / Q000032:analysis; D013737:Testis / Q000378:metabolism / Q000528:radiation effects
chemical_list: D008315:Malondialdehyde; D013482:Superoxide Dismutase