Applications of Neural Networks to the Analysis of Dynamics of Nonlinear Spatially Extended Systems

Tomasz Malinowski , Robert Kosiński

Abstract

A system based on an artificial neural network, with the structure of multilayer perceptron, was used for the recognition of the motion of a chosen, spatially extended and nonlinear system (domain wall in thin magnetic film). The dynamics of the domain wall were presented to the network in the form of binary spatio-temporal diagrams, which were based on the numerical solutions of equations of wall motion. Preliminary procession of the diagrams, with discrete Fourier transform and back propagation method for the learning of the neural network, were used. Successful recognition of spatio-temporal diagrams was achieved, which enable us to define the type of domain wall motion.
Author Tomasz Malinowski
Tomasz Malinowski,,
-
, Robert Kosiński ZFUZ
Robert Kosiński,,
- Physics of Complex Systems Divison
Journal seriesChaos Solitons & Fractals, ISSN 0960-0779
Issue year1998
Vol9
No9
Pages1587-1595
DOIDOI:10.1016/S0960-0779(97)00114-8
URL http://www.sciencedirect.com/science/article/pii/S0960077997001148
Score (nominal)30
Publication indicators WoS Impact Factor [Impact Factor WoS]: 2006 = 2.042 (2) - 2007=2.574 (5)
Citation count*0 (2016-03-06)
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