Determination of thickness and permeability tensor using the combination (models-neural networks) - Université Jean-Monnet-Saint-Étienne Access content directly
Journal Articles European Physical Journal: Applied Physics Year : 2015

Determination of thickness and permeability tensor using the combination (models-neural networks)

Abstract

The purpose of this paper is to describe an improved microwave method for predicting the material’s thickness and the saturation magnetization and the damping factor through the neural networks. These characteristics provide the permeability tensor components using the combination between theoretical models and neural network. Neural networks learn the relationship between the scattering parameters and the outputs. The networks’ performances result from both simulation and measurement thin ferrite samples.

Dates and versions

ujm-01390559 , version 1 (02-11-2016)

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Fatima Djerfaf, Didier Vincent, Stéphane Robert, Abdelaziz Merzouki. Determination of thickness and permeability tensor using the combination (models-neural networks). European Physical Journal: Applied Physics, 2015, 70 (2), pp.20601. ⟨10.1051/epjap/2015140333⟩. ⟨ujm-01390559⟩
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