Analysis of magnetic domain patterns by a perceptron neural network

Citation
S. Courtin et S. Padovani, Analysis of magnetic domain patterns by a perceptron neural network, EUROPH LETT, 50(1), 2000, pp. 94-100
Citations number
18
Categorie Soggetti
Physics
Journal title
EUROPHYSICS LETTERS
ISSN journal
02955075 → ACNP
Volume
50
Issue
1
Year of publication
2000
Pages
94 - 100
Database
ISI
SICI code
0295-5075(200004)50:1<94:AOMDPB>2.0.ZU;2-B
Abstract
It is shown that magnetic bubble films behaviour carl be described by using a 2D super-Ising Hamiltonian. Calculated hysteresis curves and magnetic do main patterns ase successfully compared with experimental results taken in the literature. The reciprocal problem of finding parameters of the super-I sing model to reproduce computed or experimental magnetic domain pictures i s solved by using a perceptron neural network.