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Modeling of Magnetic Properties of Nanocrystalline La-doped Barium Hexaferrite

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Abstract

In this paper an artificial neural network (ANN) has been developed to compute the magnetization of the pure and La-doped barium ferrite powders synthesized in ammonium nitrate melt. The input parameters were: the Fe/Ba ratio, La content, sintering temperature, HCl washing and applied magnetic field. A total of 8284 input data set from currently measured 35 different samples with different Fe/Ba ratios, La contents and washed or not washed in HCl were available. These data were used in the training set for the multilayer perceptron (MLP) neural network trained by Levenberg–Marquardt learning algorithm. The hyperbolic tangent and sigmoid transfer functions were used in the hidden layer and output layer, respectively. The correlation coefficients for the magnetization were found to be 0.9999 after the network was trained.

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Authors and Affiliations

  1. Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus, 16059, Bursa, Turkey

    Ilker Kucuk

  2. National Metrology Institute, TUBITAK-UME, P.O. Box 54, 41470, Gebze-Kocaeli, Turkey

    Hüseyin Sözeri

  3. Department of Physics, Middle East Technical University, 06531, Ankara, Turkey

    Hüsnü Özkan

Authors
  1. Ilker Kucuk
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  2. Hüseyin Sözeri
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  3. Hüsnü Özkan
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Correspondence to Ilker Kucuk.

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Kucuk, I., Sözeri, H. & Özkan, H. Modeling of Magnetic Properties of Nanocrystalline La-doped Barium Hexaferrite. J Supercond Nov Magn 24, 1333–1337 (2011). https://doi.org/10.1007/s10948-010-0828-3

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  • DOI: https://doi.org/10.1007/s10948-010-0828-3

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