Application of multilayer perceptron neural networks for predicting the permeability tensor components of thin ferrite films

Fatima Djerfaf; Didier Vincent; Stéphane Robert; Abdelaziz Merzouki

Journal Articles European Physical Journal: Applied Physics Year : 2011

Application of multilayer perceptron neural networks for predicting the permeability tensor components of thin ferrite films

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Fatima Djerfaf

Function : Author

LT2C

Didier Vincent

Function : Author
PersonId : 937490

Laboratoire Telecom Claude Chappe

Stéphane Robert

Function : Author
PersonId : 10263
IdHAL : stephane-robert
IdRef : 077187717

LT2C

Abdelaziz Merzouki

Function : Author

Keywords

Characterization of magnetic matérials Neural Network Microwave

Domains

Engineering Sciences [physics] Electronics Engineering Sciences [physics] Electromagnetism

Didier Vincent : Connect in order to contact the contributor

https://hal-ujm.archives-ouvertes.fr/ujm-00795640

Submitted on : Thursday, February 28, 2013-4:06:32 PM

Last modification on : Monday, December 12, 2022-5:26:13 PM

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ujm-00795640 , version 1 (28-02-2013)

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HAL Id : ujm-00795640 , version 1

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Fatima Djerfaf, Didier Vincent, Stéphane Robert, Abdelaziz Merzouki. Application of multilayer perceptron neural networks for predicting the permeability tensor components of thin ferrite films. European Physical Journal: Applied Physics, 2011, 56 (30601), pp.1-8. ⟨ujm-00795640⟩

Application of multilayer perceptron neural networks for predicting the permeability tensor components of thin ferrite films

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