| Issue |
Europhys. Lett.
Volume 50, Number 1, April I 2000
|
|
|---|---|---|
| Page(s) | 94 - 100 | |
| Section | Condensed matter: electronic structure, electrical, magnetic, and optical properties | |
| DOI | https://doi.org/10.1209/epl/i2000-00240-x | |
| Published online | 01 September 2002 | |
Analysis of magnetic domain patterns by a perceptron neural network
1
Institut de Recherches Subatomiques - 23 rue du Loess, BP 28
F-67037 Strasbourg, Cedex 2, France
2
Laboratoire de Cristallographie - 25 Avenue des Martyrs, BP 166
38042 Grenoble, Cedex 9, France
Corresponding authors: Sandrine.Courtin@IReS.in2p3.fr padovani@polycnrs-gre.fr
Received:
15
November
1999
Accepted:
25
January
2000
It is shown that magnetic bubble films behaviour can be described by using a 2D super-Ising Hamiltonian. Calculated hysteresis curves and magnetic domain patterns are successfully compared with experimental results taken in the literature. The reciprocal problem of finding parameters of the super-Ising model to reproduce computed or experimental magnetic domain pictures is solved by using a perceptron neural network.
PACS: 75.70.Kw – Domain structure (including magnetic bubbles) / 07.05.Mh – Neural networks, fuzzy logic, artificial intelligence
© EDP Sciences, 2000
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