Srivastava, Hari M.2023-05-092023-05-092013-12Kaya, A. A. ve Srivastava H. M. (2013). “Computational modeling of GMI effect in Co-based amorphous ribbons”. Journal of Inequalities and Applications, 2013.1029-242Xhttps://doi.org/10.1186/1029-242X-2013-293https://journalofinequalitiesandapplications.springeropen.com/articles/10.1186/1029-242X-2013-293http://hdl.handle.net/11452/32599This paper presents a prediction of a giant magneto-impedance (GMI) effect on Co-based amorphous ribbons using an artificial neural network (ANN) approach based on a self-organizing feature map (SOFM). The input parameters included the compositions of Fe and Co, ribbon width and magnetizing frequency. The output parameter was the GMI effect. The results show that the proposed model can be used for estimation of the GMI effect in the amorphous ribbons.eninfo:eu-repo/semantics/openAccessMathematicsGiant magneto-impedance effectNeural networkModelingArticle0003236136000052-s2.0-84894503087Mathematics, appliedMathematicsMagnetic Sensors; Electric Impedance; Ribbons