Analysis of magnetic domain patterns by a perceptron neural network

被引：4
|
作者：
Courtin, S
Padovani, S
机构：
[1] Inst Rech Subatom, F-67037 Strasbourg 2, France
[2] Lab Cristallog, F-38042 Grenoble, France
来源：
EUROPHYSICS LETTERS | 2000年 / 50卷 / 01期
关键词：
D O I：
10.1209/epl/i2000-00240-x
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
It is shown that magnetic bubble films behaviour carl be described by using a 2D super-Ising Hamiltonian. Calculated hysteresis curves and magnetic domain patterns ase 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.
引用
收藏
页码：94 / 100
页数：7
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