Prediction of giant magneto-impedance effect in amorphous glass-coated micro-wires using artificial neural network

Kaya, Asli

doi:10.1186/1029-242x-2013-216

Prediction of giant magneto-impedance effect in amorphous glass-coated micro-wires using artificial neural network

Atıf İçin Kopyala

Kaya A. A.

JOURNAL OF INEQUALITIES AND APPLICATIONS, 2013 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası:
Basım Tarihi: 2013
Doi Numarası: 10.1186/1029-242x-2013-216
Dergi Adı: JOURNAL OF INEQUALITIES AND APPLICATIONS
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Bursa Uludağ Üniversitesi Adresli: Hayır

Özet

This paper deals with a prediction of a giant magneto-impedance (GMI) effect on amorphous micro-wires using an artificial neural network (ANN). The prediction model has three hidden layers with fifteen neurons and full connectivity between them. The ANN model is used to predict the GMI effect for Co70.3Fe3.7B10Si13Cr3 glass-coated micro-wire. The results show that the ANN model has a 98.99% correlation with experimental data.