Modeling of Magnetic Properties of Nanocrystalline La-doped Barium Hexaferrite |
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Authors: | Ilker Kucuk Hüseyin Sözeri Hüsnü Özkan |
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Affiliation: | (1) Jiangsu Key Laboratory of Thin Films, School of Physical Science and Technology, Soochow University, 215006 Suzhou, People’s Republic of China;(2) Laboratory of Solid State Microstructures, Nanjing University, 210093 Nanjing, People’s Republic of China; |
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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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Keywords: | |
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